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Community

AI Tools in Development: A Comprehensive Guide

Artificial intelligence is one of the biggest buzzwords in recent times. AI this, and AI that. It’s everywhere! 

As a developer, you’re probably familiar with this novel technology that has the potential to change the way you work. In fact, the numbers say it all – 63% of developers engage with AI-assisted development.

In this guide, we’ll tackle the importance of AI tools in development. Plus, we’ll cover its benefits and why adding it to your digital arsenal can help you excel as a developer.

A Developer’s Perspective on Artificial Intelligence

Before anything else, let’s take a look at how this technology affects developers. For them, artificial intelligence serves as a challenge and an opportunity. 

It’s a challenge as it introduces the concepts of machines learning from data, when traditional programming concepts are based on explicit instructions. This shift challenges developers to adopt a new thought process – one where algorithms can continuously evolve.

At the same time, it represents a massive opportunity by allowing them to innovate and solve problems quickly. Suddenly, the issues that couldn’t be solved by traditional programming are now within reach, thanks to the advancement of artificial intelligence.

The Most Popular AI Tools in Development

As a developer, you must learn to roll with the punches in the AI sector, given its fast pace of development. Doing so will require you to work with cutting-edge AI tools that help streamline your workflow. Here are some of the most popular AI tools that you can use as a developer:

Code Generation – GPT 3

GPT-3 is arguably one of the most popular AI tools that you can use as a developer. It was developed by Open AI in the pursuit of creating smart and trustworthy artificial general intelligence systems.

This tool excels in generating code. With its ability to understand various contexts and programming languages, it can provide accurate and relevant code suggestions. 

If you’re looking for a language model that generates code snippets, predicts code, refactors it, and helps you with algorithmic writing, then this is one of the tools that can fit the bill.

Code Analysis – Deep Code

To improve the quality of your code, Deep Code can do the job. By employing machine learning algorithms, it learns from a vast source of data to recognize patterns and gain insights into the best coding practices – all while reducing errors.

Perhaps one of its biggest strengths is its ability to provide context-aware suggestions, as compared to solely relying on rule-based analysis. This helps Deep Code make more nuanced recommendations for developers.

Natural Language Analysis – DialogFlow

Chatbots have found their place in many industries. In finance, chatbots can be used in private equity fund administration. In healthcare, they can be used to assist in the diagnosis of diseases. 

Developers lead this effort by integrating natural language processing (NLP) capabilities into applications with tools like DialogFlow. With its user-friendly interface, developers can easily customize how websites and applications respond to different queries.

Project Management – Trello

Trello has always been one of the leading project management tools across all industries. This tool allows you to add what you call ‘Power-Ups’ – features that you can integrate into your boards on Trello. 

With the boom of artificial intelligence, there have been Power-Ups that make use of AI technology. Notes & Docs, for example, is an AI-powered tool that can help you take down notes in a much more efficient manner – whether it be through summarizing them, simplifying them, or proofreading them.

Testing and Quality Assurance  – Selenium

Before you release a web application, it must undergo adequate testing and quality assurance. Selenium is one of the AI-powered tools that can deliver in this aspect. 

There are a few products that support the integration of AI with Selenium: headspin, Healenium, and testRigor. All of these boast unique features that upgrade Selenium’s capabilities when it comes to test automation. For example, Healenium uses machine learning algorithms to manage and modify web components.

Benefits of AI Tools in Development

Now that we’re aware of the role of AI tools in development, let’s have a quick rundown of the benefits they provide:

  • Higher Productivity: By automating repetitive and routine tasks in web development, artificial intelligence tools can help developers focus on more complex aspects of their work.
  • Cost Efficiency: The cost benefits are endless – automated testing, code analysis, and bug detection all reduce the need for extensive testing, saving a huge amount of resources.
  • Advanced Data Analysis: AI excels at analyzing vast amounts of data at high speeds and precision. Through this, developers can make data-driven decisions throughout the development workflow.

Final Thoughts

That being said, the role of artificial intelligence in development is indeed significant. 

Whether it’s generating new code or testing it for quality, AI tools are capable of assisting developers in these tasks. Not to mention, several benefits come with using AI-powered tools – one being increased productivity.

One thing’s for sure. If developers want to use AI to its fullest potential, they have to stay up to date with the latest developments, as this is the key to pushing the boundaries of development even further.

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Community

CloudOps vs DevOps: A Comparison

CloudOps vs DevOps
CloudOps vs DevOps

Two methods are becoming quite popular as modern businesses use digital operations to support their growth and agility: CloudOps and DevOps. According to IDC’s most recent estimates, the market for intelligent CloudOps software might grow from $15.3 billion in 2022 to $31.4 billion in 2026 globally.  

Similarly, the worldwide DevOps market is rising steadily at a compound annual growth rate (CAGR) of 19.7% throughout the forecast period. By 2028, it would have increased from an anticipated $10.4 billion in 2023 to $25.5 billion. These figures indicate that these two models are becoming popular among organizations.

Businesses need both DevOps and CloudOps to increase the agility of their software development and IT operations. Through cloud resource optimization, or clouds, scalability and cost savings are increased. 

On the other hand, DevOps promotes teamwork, automation, increased software dependability, and enhanced customer experiences.  

Even if these models are similar, knowing how they differ is necessary to select the best strategy for your company. This blog post will compare and contrast CloudOps with DevOps, highlighting their benefits and drawbacks.

What is CloudOps?

CloudOps, which stands for Cloud Operations, accelerates business processes by applying IT operations and DevOps concepts to a cloud-based architecture. The core of cloud operations is continuous operations. 

Optimizing workloads and the delivery of IT services in the public cloud is the primary objective here. Asset management and capacity planning are formed to adjust capacity as needed without additional hardware or storage purchases.

Benefits of CloudOps

Scalability: Without the need for extra hardware for storage, Cloud Operations assists in managing the capacity. Asset management and resource allocation are carried out effectively in cloud operations.

Automation: It offers automation across several SDLC phases, such as doing quality assurance and producing reports. It leads to uninterrupted application utilization and a quicker time to market.

Accessibility: Cloud Operations enables anybody, on any platform, to effortlessly administer, keep an eye on, and run servers from any location in the world.

Continuous Operation: The software is automatically updated, which assists in offering customers continuous operation and services, i.e., the cloud’s operations are constantly accessible.

Seamless Integration: Applications that share shared services can coexist in the cloud without requiring connectivity.

Limitation of CloudOps

Cost Overruns: If your cloud budget is idle or underutilized, you face the risk of going overboard. 35% of the cloud budget gets lost due to idle resources, wasted space, and inefficiencies.

Security Issues: Although cloud services safeguard underlying systems, they are nonetheless susceptible to attack and compromise. Therefore, appropriate security setups ought to be taken care of.

Absence of Governance: Cloud services might be executed rapidly and smoothly, but governance has grown difficult. Increased security risks, lack of management, and compliance might result from rapid implementation.

Skill Gap: One of the main obstacles is a need for more experience with cloud platforms.

What is DevOps?

CloudOps vs DevOps

The acronym DevOps, which stands for “Development and Operations,” refers to a group of methodologies that emphasize teamwork while expediting corporate procedures. 

It is essential to shorten the time needed to roll out updates and high-quality software. The primary goal of DevOps implementation is to assist businesses in enhancing their company procedures, instruments, and productivity to enhance employee satisfaction and consistently provide value for clients.

Benefits of DevOps

Pace: DevOps ensures that you move at the necessary pace to fulfill consumer requests, innovate more quickly, respond to changes in the market, and improve your efficiency in achieving business goals.

Security: The DevOps methodology aids in achieving security by using integrated and automated security testing technologies.

Reliability: DevOps techniques such as continuous integration and delivery (CI/CD) guarantee that the quality of the application can be preserved, and the infrastructure and application updates may happen quickly. It guarantees end users the best possible experience as well.

Faster speed to market: Increasing the frequency of releases and providing continuous delivery will help you improve your product more quickly and gain a competitive edge.

Enhanced Cooperation: The teams work closely together, assign tasks to one another, and integrate their workflows thanks to the DevOps methodology. 

Limitation of DevOps

Increased Risks: According to its high automation requirements, DevOps can cause several problems if not set up correctly. When these problems arise, DevOps may also make it challenging to identify their origin.

Integration Challenges: When implementing DevOps, a large organization with complex systems may find it challenging to accomplish the high levels of integration required between the IT Operations and IT Development teams. It could be challenging to adopt, but DevOps may also necessitate a significant culture shift for some firms.

Complexity: DevOps implementations may result in a complex production environment that is difficult to diagnose and manage. Businesses may also be compelled to spend more money on hardware and software, which would raise costs and confuse matters.

Comparison between DevOps and CloudOps methodologies

It is necessary to compare CloudOps with DevOps because they are two different but related approaches that are vital to contemporary software development and IT operations.  

Comprehending the differences between them in terms of duties, tools, technology, scope, and other elements can help organizations choose the most appropriate operational model. Among the main distinctions between the two are the following:

1. Range

Cloud environments are the primary domain in which CloudOps operates. It involves managing data storage, provisioning, monitoring, and optimizing cloud resources, addressing security and compliance issues unique to the cloud.

The software product development lifecycle, in contrast, is covered by DevOps, encompassing planning, coding, testing, deployment, and continuing operations in addition to monitoring, obtaining feedback, and incremental improvements.

2. Effective resource administration

Efficient management of cloud resources is the responsibility of CloudOps teams. They manage resource scaling to satisfy application demands, keep an eye on performance, and guarantee data security.

Teams in DevOps collaborate on tasks across the whole software development and operations lifecycle. Together, they automate procedures, guarantee the quality of the code, and uphold pipelines for continuous integration and delivery.

3. Instruments and technological advancements

For resource management, CloudOps uses technologies and tools that are specialized to cloud service providers. AWS CloudFormation, Azure Resource Manager, and Google Cloud Deployment Manager are a few examples.

Ansible, GitLab CI/CD, Jenkins, and other automation and integration tools are used by DevOps for deployment automation, testing, and configuration management.

4. Duration

Continuous monitoring and optimization of cloud resources are essential components of CloudOps, a constant process that adjusts to evolving business requirements over time.

To respond quickly to customer input and changes in the market, DevOps frequently uses shorter development cycles along with frequent releases and upgrades.

5.  Cultural change

It takes a culture shift toward cloud-centric thinking to adopt CloudOps. Prioritizing cloud-native processes and solutions is necessary for teams to run scalable and adaptable operations.

DevOps promotes a culture change in which development and operations teams work together, share responsibilities, and prioritize ongoing learning and development.

6. Cost-effectiveness

Setting up and maintaining cloud infrastructure can come with higher upfront expenditures, especially for companies that have large-scale cloud deployments.

DevOps usually has cheaper upfront costs because it places a strong emphasis on automation, which maximizes resource utilization and minimizes the need for significant infrastructure investments.

7. Information Exchange

Data sharing may be restricted in CloudOps environments because of security and privacy issues, particularly when handling sensitive data.

Better communication and information sharing are enabled by DevOps, which encourages a more adaptable and cooperative approach to data exchange between development and operations teams.

Future Trends

It is anticipated to see a growing confluence between DevOps and CloudOps in the future. As new trends like AIOps, GitOps, and NoOps gain traction and the emphasis on cloud-native development, microservices architectures, and containerization technologies intensifies, both models are probably going to change at the same time.

The emergence of hybrid and multi-cloud methods will probably make managing cloud operations much more challenging. 

For example, companies with large workloads that are cloud-native could find it advantageous to implement CloudOps. DevOps services may be more appropriate for those who want to improve internal collaboration and accelerate product delivery.

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Community

Developer Nation Donation Program: Defining our social footprint together

The very essence of community lies at the heart of our Developer Nation surveys and therefore, we’re committed to giving back to the communities in different ways. With the mission of helping developers be their best selves, we place great importance on giving back to our community not only by sharing valuable insights and data, and helping them set the right foundations for their careers -, but also by supporting causes that matter to them – through our Donation Programs.

The Donation Program has become an integral part of our Developer Nation surveys and has helped us support aspiring professionals from all over the world who are driven by their passion for technology and are determined to make a difference in the world. As part of our Donation Program, we donate $0.10 per response to the charities our Developer Nation community chooses to support. Our goal is to reach $2,000 in donations and with every respondent taking part in our surveys, we’re getting a step closer to our goal!

During the 25th Developer Nation survey, one of the charities we donated to was CoderDojo, part of the Raspberry Pi Foundation, and this is the impact we were able to create by joining forces:

  • Global Reach: Over 4,000 coding clubs ran in-person sessions in 103 countries, creating a widespread impact and fostering a global community of learners.
  • Diverse Participation: 2,508 young people from 46 countries submitted entries into the Coolest Projects showcase, with a remarkable 45% of the participants being girls, promoting inclusivity and diversity in the tech space.
  • Expanded Learning Opportunities: The Raspberry Pi Foundation launched three new digital making project pathways, providing learners with diverse coding experiences, from story books and virtual pets to musical instruments, Raspberry Pi Pico creations, data visualizations, websites, and more.
  • Language Accessibility: Efforts were made to translate digital making projects into over 30 different languages, with a specific focus on supporting learners in areas of educational disadvantage. This includes building new volunteer translation communities for an additional five languages spoken in Kenya, South Africa, and India.
  • Skill Development: 88% of CoderDojo champions reported that young people improved their computing and programming skills as a result of taking part in CoderDojo. Additionally, 87% noted that young people gained more confidence to explore computing and programming.
coderdojo

Helping each other grow and achieve our dreams is what drives us here in Developer Nation.

We’d like to celebrate the personal stories of these young tech creators together with the Raspberry Pi Foundation:

Jay, sharing his love of robotics in his local community
“My mission is to spread the word of computing and programming, because not many people know about these subjects.” – Jay

jay sharing his love of robotics
jay sharing his love of robotics

Laura, building robots to change the world
“I never imagined that I would have so many opportunities to travel, expand my horizons, and meet so many people. It’s thanks to CoderDojo and Coolest Projects that I’ve been able to build an amazing network of friends, and together we’re ready to take on the world.” – Laura

Laura, building robots to change the world

My Coding Story: Selin
“I do hope people and AI work together in the future to make the world a better place. So I hope I will be a role model, and I actually know it’s hard to start at first, but, like, interests are gender-free. But to just, like, start, be curious and courageous, and, like, never let setbacks stop you so you can actually accomplish, like, your dream and to follow it and to never give up..” – Selin

  These stories show how much we can accomplish together as a community. We’re truly grateful to our community members for embracing our Donation Program and contributing to it, helping us create a sustainable ecosystem for everyone to live and thrive in. Being community-led, this effort could not have been possible without your valuable contributions.  Let’s keep making a positive difference together!

NEW Developer Nation survey is live. Participate and shape the trends in software development. Start Here!

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Community

Exploring the Landscape of Enterprise Development: A Regional and Technological Perspective

Forget about dusty old maps and boring stats – imagine navigating the ever-changing jungle of enterprise software development! It’s like discovering hidden tribes of people who code in modern programming languages (Python! Kotlin!), use cutting-edge CI/CD tools – Jenkins, CircleCI and work in big teams and have years of experience bringing an idea to life from the ground up by writing the most optimised code. It’s like building magical castles in the cloud. 

That’s where we’re headed, adventurer! We’ll trek through Silicon Valley’s glittering skyscrapers, sneak into Bangalore’s secret startup dens, and even chill by the beach with coders from Africa brewing the next big tech revolution. No region is off-limits! Along the way, we’ll decode the whispers of rising tech trends – AI whispering innovation to your data, blockchain building invisible fortresses, and old giants like Java shaking hands with nimble new stars like Swift. We’ll peek into everyone’s toolbox, from open-source bazaars to enterprise treasure chests, and maybe even borrow a cool gadget or two.

All this, based on our most recent pulse report, Q3, 2023, which you can find here. But before that, if you  are a professional developer or know someone who is, consider participating in our ongoing 26th Developer Nation survey and contribute to the optimisation of the developer experience.

Enterprise Development isn’t just about gadgets and gizmos. This is about the passionate humans behind the code – the keyboard warriors battling bugs, the dreamers sketching the future, and the masterminds building software that’ll change the world (one line at a time!). Learning about enterprise developers is essential for a holistic understanding of software development, especially in  large organizations where the challenges and requirements are distinct from those of smaller projects. This knowledge can benefit various stakeholders, from business leaders and project managers to individual developers and technology enthusiasts. 

So, grab your coding backpack, your adventurous spirit, and your insatiable curiosity. It’s time to rewrite the jungle rules, one bug fix, one feature update, one innovative idea at a time. 

Regional Disparities

While regions like South Asia hold a scant 9.5% share of the world’s enterprise developers, North America, Western Europe, and Israel stand as towering giants, each wielding around 31% and 28.6% of the talent pool, respectively. This chasm in geographical distribution begs the question: what factors have sculpted such an uneven landscape?

Disparity in software development likely stems from socioeconomic and economic factors. Developed economies have better educational resources and established tech ecosystems, fostering a critical mass of skilled developers. Thriving tech hubs in other regions attract talent with promising careers and salaries while nascent ecosystems struggle to compete, hindering talent growth.

The stark disparities in the distribution of enterprise developers highlight the need for concerted efforts to bridge the digital divide and create a more equitable global tech landscape. By investing in human capital, fostering collaboration, and promoting inclusive growth, we can unlock the full potential of technology for all corners of the world.

Enterprise Developers' Geo

Technology Preferences

The technological preferences of enterprise developers paint a vivid picture of the industry’s driving forces. Web development and backend tasks reign supreme, captivating a whopping 82% of the developer pool. This focus reflects the ever-expanding web ecosystem and the crucial role of robust backend infrastructure in powering modern applications.

While web and backend rule the roost, mobile development and artificial intelligence (AI) are carving their own niches. With their ubiquitous presence in our daily lives, mobile apps attract roughly 35% of developers, driven by the ever-evolving mobile landscape and the insatiable demand for user-centric experiences. AI, though still in the early stages of enterprise adoption, holds the attention of around 33% of developers, hinting at its immense potential to revolutionise various sectors. 

Enterprise Developers Areas

Industry Spotlight: Software and Finance Lead the Way

Beyond technologies, the industries drawing developer interest are equally revealing. Software products and services take the crown, with nearly 40% of developers gravitating towards this dynamic domain. This affinity stems from the constant churn of innovation and the fast-paced nature of the software world. Financial services and banking, with their complex data landscapes and growing reliance on technology, come in a close second at 21.6%, showcasing the increasing convergence of finance and technology.

These trends signify a close interplay between developer preferences and industry needs. The prevalence of web and backend development aligns seamlessly with the software and financial sectors’ demand for a robust online presence and advanced data processing. Simultaneously, the growing interest in mobile and AI mirrors the increasing importance of user engagement and data-driven insights across various industries.

Understanding these connections provides valuable insights into the future of enterprise development. The emphasis on web, mobile, and AI is expected to strengthen, driven by both developer enthusiasm and industry demands. As these technologies advance, the software and financial sectors will likely stay ahead, attracting and fostering top developer talent.

Enterprise Developers industry verticals

CI/CD Practices

As the software development lifecycle evolves, Continuous Integration and Continuous Deployment (CI/CD) practices have become indispensable. Jenkins emerges as the dominant force in this arena, enjoying a staggering 66.5% usage. GitLab’s self-hosted version follows suit, while IBMCode and TeamCity trail as smaller players. Notably, Jenkins is popular in organizations with over 1,000 employees, with self-hosted GitLab closely behind at 37.2%. Azure Pipelines, IBM UrbanCode, and TeamCity cater to smaller segments of the market.

CI/CD tools

Containerization and Cloud Services

The age-old frustration of “It works on my machine but not yours” has become a relic of the past, thanks to containerisation technologies like LXC and Docker. These container technologies are especially favoured by backend developers, commanding an impressive 61.8% usage. Database-as-a-Service (DBaaS) is also prominent at 34.6%. In the backend developer’s toolkit, cloud monitoring services are vital, with 23.7% usage.

top 5 technologies used by backend developers

DevOps Tooling

In the DevOps domain, GitHub is the leader, commanding a substantial 28% usage. Google Cloud Developer Tools follow closely at 13.8%, while AWS CodeCommit lags  with just around 8% usage. These statistics underline the importance of collaboration and version control in the modern software development landscape.

top 5 technologies used by devops

Conclusion

The enterprise development world is dynamic and shaped by regional influences and technological preferences. As we navigate the evolving landscape, it is clear that specific tools and practices have become integral to the development lifecycle. Whether it’s the dominance of Jenkins in CI/CD or the widespread adoption of containerisation technologies, staying informed about the trends is essential for developers and businesses alike. As we move forward, anticipating and adapting to these shifts will be key to thriving in the ever-changing enterprise development world. 

If you are an enterprise developer, I’d love to connect with you personally and learn more about your work and day-to-day challenges and how Developer Nation and SlashData can help you from our decades of experience in Developer Market Research and community building. Please reach out to me at ayan.pahwa@slashdata.co or on social media. Cheers!

– @iAyanPahwa 

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Community Tips

Mastering DevOps in Software Engineering: A Step-by-Step Guide

Are you having trouble matching your software development methods with today’s fast-paced changes? The evolution of software development has made embracing DevOps practices not just a trend but a strategic necessity.

DevOps, derived from development and operations, signifies a transformative shift in the entire process of creating, testing, and deploying software.

Embarking on the journey of integrating DevOps into your software engineering workflows requires thoughtful consideration. For a seamless transition into this transformative process, seek personalized guidance tailored to your specific needs.

Let’s dive into the essential considerations that will pave the way for a seamless and successful implementation.

1. Understanding the DevOps Culture

The cultural transformation integral to DevOps is much more than just teamwork; it’s about fostering a sense of shared responsibility and ownership among the development and operations teams. This approach breaks down traditional silos and encourages open communication, creating an environment where everyone works towards common objectives, thus enhancing overall efficiency and productivity.

This image from Space-O Technologies shows the difference between DevOps vs Agile development methodologies. 

DevOps in Software Engineering
Source:  spaceo.ca

In this ever-evolving landscape, the insights from experienced professionals are crucial to ensure that your approach is well-aligned with modern requirements. Therefore, as you take your first step towards optimizing your software practices, it’s beneficial to seek expert guidance.

2. Choosing the Right DevOps Tools

Selecting the appropriate tools is the backbone of any successful DevOps initiative. The technology stack you choose should align with your organization’s specific needs and existing infrastructure. Here’s a closer look at some key DevOps tools:

• Jenkins

Beyond being an automation server, Jenkins serves as the heartbeat of continuous integration and continuous deployment (CI/CD) pipelines. Its versatility makes it a go-to choice for automating various stages of the development process.

• Git

Git, a distributed version control system, ensures effective source code management. Its ability to handle collaborative development seamlessly and facilitate branching and merging makes it a fundamental tool in DevOps workflows.

• Docker

As a containerization platform, Docker enables the packaging and distribution of applications along with their dependencies. This promotes consistency across different environments and streamlines the deployment process.

• Kubernetes

Kubernetes stands out for container orchestration. It automates the deployment, scaling, and management of containerized applications. This provides a strong solution for container orchestration in complex environments.

3. Establishing Continuous Integration and Continuous Deployment (CI/CD) Pipelines

Implementing CI/CD pipelines is not only a technical choice but also a strategic move toward achieving faster, more reliable software delivery. Let’s explore the benefits in more detail:

Benefits of CI/CD Pipelines

  • Faster Time-to-Market: CI/CD pipelines accelerate the development cycle, ensuring that new features and bug fixes reach users swiftly.
  • Reduced Manual Errors: Automation in testing and deployment reduces the likelihood of human errors, contributing to a more reliable release process.
  • Enhanced Collaboration: CI/CD pipelines create continuous feedback loops, fostering collaboration between development, operations, and other stakeholders.

4. Security as Code: Integrating DevSecOps

With cybersecurity threats on the rise, integrating security practices into your DevOps pipeline is non-negotiable. DevSecOps is a methodology that emphasizes incorporating security measures right from the start. Here’s a closer look at key security considerations:

Key Security Considerations

  • Automated Security Scans: Regular automated scans of code and dependencies help identify and remediate vulnerabilities proactively.
  • Access Control: Implementing robust access controls ensures that only authorized personnel have access to sensitive data and critical systems.
  • Security Training: Continuous training for development and operations teams on security best practices is essential to build a security-first mindset.

5. Monitoring and Logging for Continuous Improvement

DevOps is an iterative process, and continuous monitoring is essential for identifying areas of improvement. Robust monitoring and logging solutions offer insights into system performance, troubleshoot issues, and guide optimizations over time.

Monitoring Best Practices

  • Real-Time Monitoring: Identify and address issues as they arise, preventing potential disruptions to services.
  • Performance Metrics: Track key performance indicators (KPIs) to gain insights into application and infrastructure performance.
  • Log Analysis: Analyzing logs is crucial for troubleshooting issues, understanding system behavior, and identifying patterns that can inform future improvements.

6. Embracing Infrastructure as Code (IaC)

Infrastructure as Code (IaC) is a fundamental practice that involves managing and provisioning infrastructure through code and automation. The advantages of IaC extend beyond just efficient infrastructure management.

Advantages of IaC

  • Scalability: IaC allows for the effortless replication and scaling of infrastructure as needed, supporting the dynamic demands of modern applications.
  • Version Control: Tracking changes to infrastructure configurations using version control ensures transparency, accountability, and the ability to roll back changes if needed.
  • Consistency: IaC ensures consistency across different environments, reducing the chances of configuration drift and minimizing deployment-related issues.

7. Collaboration and Communication

Effective collaboration and communication are the bedrock of a successful DevOps culture. Creating an environment where development, operations, and other stakeholders communicate openly and collaborate seamlessly is essential for sustained success.

Collaboration Strategies

  • Cross-Functional Teams: The formation of cross-functional teams brings together individuals with diverse skills, fostering collaboration and shared responsibility.
  • Knowledge Sharing: Workshops, training sessions, and collaborative tools are instrumental in facilitating the exchange of knowledge and best practices among team members.
  • Collaborative Tools: Leveraging communication and collaboration tools, like Slack or Microsoft Teams, supports real-time communication and connect the team.

8. Scalability and Flexibility

In the dynamic landscape of software development, scalability and flexibility are paramount. Your DevOps practices should be designed to adapt to changes in technology, team structures, and business requirements.

Scalability Tips

  • Modular Architecture: Designing systems with a modular architecture facilitates easier scalability. Individual components can be scaled independently to meet varying demands.
  • Automation for Scale: Automation is a key enabler of scalability. Automate repetitive tasks to ensure efficiency and consistency as your infrastructure and application needs grow.
  • Continuous Evaluation: Regularly evaluating and adapting DevOps processes is essential for optimal performance. Continuous improvement should be ingrained in the culture.

As software engineering constantly evolves, it’s crucial to stay informed about current development trends in software engineering. Understanding these trends can guide your DevOps practices toward greater adaptability and innovation.

Conclusion

In conclusion, adopting DevOps in software engineering is a transformative journey that involves cultural shifts, strategic tool selection, and the establishment of efficient processes. By understanding the DevOps culture, choosing the right tools, establishing CI/CD pipelines, integrating security practices, monitoring for continuous improvement, embracing Infrastructure as Code, promoting collaboration, and ensuring scalability, you can lay the foundation for a successful DevOps implementation.

Remember, DevOps is not a one-time implementation but a continuous evolution. Stay committed to the principles, foster a culture of collaboration, and leverage the power of automation to propel your software engineering processes into the realm of efficiency, reliability, and innovation.

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Community

The Surprising Ways Developers Can Drive Innovation in the Growing Electric Vehicle Ecosystem

There’s no denying that the 21st century is the digital age, with most of our daily interactions involving some form of mobile tech, internet connectivity, or wireless exchange. With such an increased emphasis on accessibility, flexibility, and sustainability, it should come as no surprise that many vehicle manufacturers are investing a great deal of labor and funds into the electric vehicle (EV) sector. Since car transportation is often both vital and unavoidable, it only makes sense that our vehicles will rely on innovative software developments.

Here we will explore the Fourth Industrial Revolution as it relates to the growing EV industry, examining how software developers are ushering us into a user-friendly, eco-conscious, data-mining vehicular renaissance.

Industry 4.0: The Influence of Smart Manufacturing on the EV Industry

Industrial labor, practices, and developments are driven by progressions in energy sources. We advanced from using steam power for manufacturing amelioration to a dependency on computer-based technology in a matter of two centuries, a shift that fundamentally altered the way we produce common goods. As we pivot from the hardware-centric Third Industrial Revolution to the more software-forward Industry 4.0 landscape, it is important to acknowledge how developers are motivating change through smart manufacturing in the car industry.

One of the primary ways developers have changed manufacturing is through Industrial Internet of Things (IIoT) devices. IIoT products use sensors and internet connectivity to store, transfer, and analyze data shared between multiple devices, employing predictive AI to optimize operations and alleviate congestion or labor pain points throughout multiple areas of the supply chain. 

By employing smart tech in manufacturing facilities, productivity is positively affected. Developers are continuing to experiment with Augmented Reality (AR) IoT devices and applications to provide an immersive job training experience that is safe and optimizes labor. Current employees don’t have to spend time out of their busy schedule extensively training new employees, and on-the-job injuries can be prevented by allowing inexperienced trainees to practice operating machines virtually.

Beyond convenience, one of the best parts of smart manufacturing integration for EVs is the emphasis on environmental efficiency. Many people choose to invest in EVs to reduce their carbon footprint, contributing to a healthier future for generations to come. Industry 4.0’s focus on automation and data analytics allows EV manufacturers to continually reassess their energy consumption, helping identify when certain machinery should be replaced or which programs are draining unnecessary energy from facilities. Other key benefits of EV ownership include:

  • Lower costs for new model vehicles;
  • Extended fuel economy;
  • Government tax incentives;
  • Cheaper annual maintenance.

With so many reasons to switch to EVs, it makes sense why developers are investing time and resources into creating an amplified ownership experience that emphasizes the futuristic qualities of these vehicles.

How Developers Enhance the EV Ownership Experience

Developers are also playing a vital role in making EVs accessible for disabled drivers. Inclusivity in web and software design is a must, as over 16 percent of people around the world suffer from debilitating disabilities. Web developers, when designing the interface for EV devices like charging stations or digital dashboards, must incorporate things like large fonts and text-to-speech technology into the devices. Though owners of these charging stations should make an effort to create accessible spaces for those with mobility issues or other physical impairments, creating a user-accessible experience for all is something developers can have significant control over.

An IoT-integrated application that is perhaps one of the most helpful tools for drivers in particular is predictive maintenance in EVs. These applications help transport and process vital vehicle and car ownership data to other service devices or analytical sources. For example, EV charging stations, which connect to the vehicle to communicate important information to the stations, relay data like billing credentials or battery condition. 

GPS technology is another aspect of the EV driving experience that requires frequent updates and innovation. Developers can produce mapping applications for EVs that outline routes specific to a driver’s battery charge level, allowing them to maximize their digital fuel. These routes can also be optimized to help a driver travel within proximity of charging stations for long journeys.

Software Safety Precaution Developments in Electric Vehicles

Driving an electric vehicle catapults you into the future in many ways, with one in particular being the implementation of autonomous driving systems. Often, drivers are wary about utilizing this tech to the fullest, creating a need for enhanced safety precautions through software development that incorporates autonomous capabilities without relinquishing the majority of a driver’s control. Advanced Driver Assistance Systems (ADAS) can use GPS and IoT devices and software to predict your vehicle’s distance from other vehicles with a lane departure warning and collision avoidance tech that pumps the brakes for you should an obstacle suddenly come your way.

Another incredible part of EV ownership is the chance to operate a vehicle that employs regenerative braking, which converts the kinetic energy produced by braking into electrical fuel for your vehicle’s battery. For vehicles like Teslas, regenerative braking also allows drivers to brake simply by lifting their foot off the acceleration pedal. However, in 2022, Tesla released a software development that allows your vehicle to use your regular brakes when regenerative braking cannot be consistently used for ideal deceleration. This creates a much safer driving opportunity and doesn’t limit regenerative braking options for the driver either.

Final Thoughts

Developers are the true backbone of the EV ecosystem. With that said, the EV industry needs keen developers who understand the need for inclusivity and creating a relationship of trust between the vehicle and the driver. EV manufacturers that choose to work with developers who are more interested in aesthetics and complex designs rather than well-tested, scaled tech that is both appealing and easy to use are poisonous to the industry. It is important to encourage production that seeks to create sustainable, ever-evolving electric transportation options that are attuned to the growing needs of the individual, rather than the ambitions of a single company or entity.

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Community Tips

Securing Your Digital Life: The Necessity of Hardware Security Key for Developers and Privacy focused Individuals

This is a blog series on Hardware Security Keys such as Yubikey. In this series, you will learn how to use a Yubikey to enhance your digital security and privacy practices, such as using it for 2-factor authentication, using Yubikey for SSH, saving PGP Keys, signing code-commits and much more. This is the first part of the blog series, where you will learn how to set up a Yubikey for U2F-based 2-factor authentication. Please suggest in the comments or on our forum if you wish to see any other guide related to Yubikey.

Introduction

Securing your online presence in an era dominated by digital interactions has become more crucial than ever. With the rising threat of cyber attacks and privacy breaches, finding reliable ways to safeguard your accounts should be a top priority for everyone, especially developers. The YubiKey is a hardware USB security key from Yubikey, which stands out as a versatile and robust solution for privacy-focused individuals. This blog post will explore why a hardware security key like YubiKey is indispensable and provide step-by-step instructions on implementing two-factor authentication (2FA) for your Github account.

Need for Hardware Security Keys

1. Physical Security:

Hardware security keys offer an extra layer of protection by introducing a physical element to the authentication process. Unlike traditional methods that rely solely on passwords, YubiKey provides a tangible key resistant to phishing attacks. The cryptographic hashes used to authenticate you to an online service are saved on your key, and since only you have possession of the device, you can log in. This also protects you from becoming a victim of a malicious or phishing website since they don’t have saved your Security keys to authenticate with.

2. Versatility:

YubiKey supports various authentication standards, including FIDO2 and U2F, which are industry standards for multi-factor authentication, making it compatible with a wide range of services and platforms. Its versatility makes it a one-stop solution for strengthening security across different online accounts.

3. Privacy Concerns:

As concerns about online privacy continue to grow, a YubiKey can help you to mitigate risks associated with password breaches. By eliminating the need for passwords altogether in some cases and providing an additional layer of security in others, YubiKey enhances overall digital privacy. Newer Yubikeys also supports Passkeys, currently the most secure ways of passwordless authentication. We will probably cover how to use a Yubikey for passkeys generation in a later blog, but you can read all about Passkeys in our previous blog here.

Setting Up YubiKey 5C for Two-Factor Authentication (2FA)

1. Choosing Services:

Begin by selecting online services that support YubiKey for 2FA. Popular platforms like Google, GitHub, and others offer seamless integration. You can check the complete list of all the online services that support U2F / Yubikey here.

2. Registering YubiKey:

Follow these steps to register YubiKey for 2FA on the chosen services we will use it for Github:

Example: Setting up YubiKey 2FA on Google

  1. Head to your Github account settings into Password and Authentication tab
  2. Under Two-factor authentication, select Security Keys as your preferred method
  3. Click Add New Security key
  4. A pop-up will appear asking you to insert your Yubikey on the USB port of your workstation.
  5. Insert the security key and touch the pad or press the button depending on your security key model

6. This should register the security key, and you can add more keys, such as a backup key, using the same steps

7. If your Yubikey supports NFC, you can also add it using a NFC Compatible mobile device

Complete steps, along with the walkthrough video can also be found here.

3. Testing the Setup:

Verify the effectiveness of your 2FA setup by logging in with your YubiKey. Experience the seamless and secure authentication process.

Tips for Developers

1. Integrating YubiKey into Development Workflow:

Developers can enhance their security practices by integrating YubiKey into their workflow. Platforms like GitHub and tools like Git also support YubiKey for secure authentication and signing your commits (more in upcoming blogs).

2. Best Practices for YubiKey Usage:

To ensure the longevity and effectiveness of your YubiKey:

  • Safely store and manage your YubiKey.
  • Consider having a backup YubiKey in case of loss or damage.

Conclusion

In conclusion, a YubiKey is not just a USB security key; it’s a powerful tool for fortifying your digital defences. By implementing two-factor authentication, you can significantly enhance your online security. Whether you’re a developer or passionate about privacy, the YubiKey is a necessary addition to your digital toolkit. Prioritise your digital security, adopt YubiKey, and enjoy a safer online experience.

Remember, in the evolving landscape of digital threats, taking proactive measures is the key to a secure and resilient online presence. Stay safe, stay secure!

Categories
Community

How Generative AI will affect developers’ work

We all remember back in March when prominent leaders, researchers, and figures in tech, most notably Elon Musk and Steve Wozniak, signed a letter advocating for a six-month pause of giant artificial intelligence (AI) experiments. Despite the letter prompting a wide discussion and raising both ethical and practical concerns that were acknowledged by many in the field, few were surprised that the letter had a negligible impact on slowing the pace of research.  

Now, approximately six months following the letter’s initial publication, we check in with those who are among the closest to the subject in question: developers. In our latest Developer Nation survey, we collected insights, perspectives, and real-world experiences from over 17,000 developers worldwide, delving into the impact of generative AI on their careers and work now and in the future. 

In this article, we present our analysis from a snapshot of the data collected to offer insight into how developers perceive the future of generative AI; specifically how it relates to their role as a developer.

Various studies that measured AI’s impact on worker productivity in different roles have been published this year. In this chapter, we do not delve into productivity metrics, but rather, we present developers’ views and perceptions about how generative AI will affect their productivity, work, and the world. 

Highlight

80% of developers believe that generative AI will increase their potential and productivity at work

💡Checkout our recent meet-up where developers from our community discussed about Impact of Generative AI in more details: https://youtu.be/OMHlve6d1bI?feature=shared

Regarding AI’s impact on their work, developers are overwhelmingly optimistic. The vast majority (80%) agree or strongly agree that AI will increase their potential and productivity, while 70% agree or strongly agree that it will give them access to new programming tools. Throughout our many years of tracking and researching developers’ preferences and behaviours, we have found that the community is incredibly heterogeneous. There is substantial variation in developers’ educational backgrounds, technology choices, and professional preferences. Hence, this remarkable consensus regarding the impact of AI on their workflow is striking. It sends a clear message about generative AI’s positive potential: only 7% of developers disagree or strongly disagree that AI’s net impact on the world will be positive!

While generative AI’s potential is great, developers clearly still harbour some reservations as well. 61% of developers agree or strongly agree that generative AI raises many ethical concerns. While we did not ask our survey respondents to specifically identify which ethical concerns they are most preoccupied with, one of the primary ethical concerns regarding AI that has received considerable attention this past year is its potential to displace workers.

Developers are somewhat split about generative AI’s potential to displace them in their current roles. 32% of developers strongly agree that AI will surpass their skills and render their jobs obsolete, while 40% either disagree or strongly disagree that this is actually a feasible outcome. How developers feel about AI’s potential to replace their jobs depends on a number of factors, but one critical factor is their current role. The following section examines the differences in perceptions across various roles. 

Will AI replace developers?

Segmenting developers by ten of the most popular roles, we examine which roles have the highest concerns about potential replacement. CIOs, CTOs, and IT managers are the most likely (40%) to strongly agree that generative AI could surpass their skills and render their role obsolete. Initially, this result is somewhat counter-intuitive as managerial skills are unlikely to be replaced in the foreseeable future by generative AI due to the variety and complexity of tasks that managers often face. However, these specific roles are frequently responsible for monitoring a company’s technology, infrastructure, and data for – among other metrics – accuracy, efficiency, security, and efficacy; all of which are quantifiable. 

While AI surpasses a human’s ability in terms of speed and accuracy of monitoring various quantitative metrics, we do not foresee a future where these roles are no longer present, rather, the technical aspect of the roles are altered; a notion supported by 41% of developers in these roles. These roles are more than likely going to evolve or be reimagined to compensate for the additional capacity granted by AI. 

Developers working or studying as data analysts, scientists, and/or researchers make up the next three roles that are most likely (37%-40%) to strongly agree their skills will be surpassed and their jobs could be rendered obsolete. However, roughly an equal or greater number of developers in these data-driven roles strongly disagree.

Generative AI has made great strides in several areas, including data analysis and code generation. While the progress is impressive, what is equally striking is how difficult it can be to differentiate correct from false/hallucinated answers and incorrect analytical applications or interpretations unless the developer has domain-specific knowledge. Hence, while these researcher and data-handling roles have already been substantially impacted by AI and will surely continue to be, developers are split on the future of these types of roles.

On the opposite end of the spectrum, architects and programmers are the most likely to strongly disagree that their roles and skills can be replaced by generative AI. Most of these developers, 61% and 55%, respectively, feel their role and skills are safe from the threat of generative AI. These developers are some of the most likely to be technical experts and recognise that while AI can excel at quantifiable solutions, complex or multi-faceted problems are likely to continue to require substantial human input for the foreseeable future.

It is inevitable, however, that these roles will still feel its impact and influence in their work. Hence, in the next section, we take a look into who the developers are who feel that they can benefit from AI and gain access to additional tools through its use. 

Highlight

61% and 55% of architects and programmers respectively, disagree or strongly disagree that Generative AI will surpass their skills and render their jobs obsolete

Will AI allow developers to access new tools and technologies?

One of the factors that significantly impact developers’ perceptions on whether generative AI will allow them to use programming tools that they previously could not is their level of experience. Overwhelmingly, 80% of developers with less than a year of software development experience agree or strongly agree that AI will give them access to new tools that would otherwise not be available. The proportion of developers who agree steadily declines to 60% as developers gain more experience, where, in turn, more experienced developers are more likely to strongly disagree with this sentiment. 

More experienced developers also have greater programming skills and are, therefore, less likely to expect that generative AI will create new opportunities for them to access additional tools. It is not a new phenomenon that younger, less experienced individuals enter a field or company and are more open to learning novel techniques or new methods, some of which can be in contrast to the established, institutionalised way of doing things. This distribution of developers’ AI perspective below conforms to this trend and demonstrates that less experienced developers perceive AI in a different light compared to the more seasoned ones. 

Insight

80% of developers in their first year of developing software strongly agree that AI will be/ is a gateway granting them access to new programming tools

However, a finding worth highlighting here is that the experts in the field – those with more than 16 years of experience – are the most likely (28%) to report being unsure, neither agreeing or disagreeing, about AI’s potential to provide them access to new tools. This degree of uncertainty from the most practised group of developers is a good indicator that the future of generative AI is still very much evolving and points to an exciting but somewhat uncertain future of how AI advancements will continue to shape the role of developers. 

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Community

Safety in numbers – how have layoffs affected developers?

The process of creative destruction in the tech sector allows for great leaps of innovation as startups out-manoeuvre incumbents and are, in turn, acquired in billion-dollar deals. However, this dynamism and flexibility can also come at a cost. When organisations are flush with cash and the trade winds are blowing in the right direction, developers’ high value is evident in their commensurately high salaries and attractive benefits packages as organisations build crack teams to solve hard problems. 

But when times are hard, these crack teams can begin to look like luxuries, and suddenly, a prestigiously large team may appear bloated. In hard times, organisations need to maintain profitability and ‘right-size’ their organisation. After the hiring glut during the COVID-19 pandemic, it appears that software vendors have begun to tighten their belts in the face of global financial uncertainty. Meta’s ‘year of efficiency’ has reportedly resulted in a loss of 20k jobs, a fraction of the reported 225k lost in 2023 (at the time of writing).

In this blog post, we examine how developers were affected by layoffs in the tech industry in the last 18 months, presenting findings from SlashData’s Q3 2023 Developer Nation survey.

A very substantial proportion (45%) of developers were directly or indirectly affected by these layoffs. In particular, nearly a quarter of those – and 11% of all professional developers – were themselves laid off. We’ll look more closely at just who was affected further down the post.

It seems that employers were more willing to reduce headcount than to reduce benefits – 30% of developers were either laid off or know someone who was, whilst 22% either lost salary/benefits or didn’t get a raise. This shows the depth of the cuts needed for organisations to remain profitable – redundancies save on bonuses, benefits, and overheads, in addition to salaries.

Interestingly, as a result of this situation, we find that 12% of developers are considering changing career paths. According to our survey data, Industrial IoT (21%) and VR (18%) are the hardest-hit sectors. Given that many VR developers get into the profession due to their passion and evangelism for the technology, this must be particularly distressing for them. 

Furthermore, even despite the recent AI/ML gold rush associated with recent developments in large language models (LLMs), 16% of developers involved in ML/AI projects are considering switching. Those who report translating business problems into ML/AI problems are the most likely to consider switching (24%). This might be because the answer to this question is now becoming increasingly ‘use the ChatGPT API’. To find out more about what developers think of generative AI, check out the 25th edition of our State of the Developer Nation report and our recent webinar.

Nearly half of developers have been affected by layoffs, and three in ten have been laid off or know someone who was
* % of professional developers working in organisations of 2 or more employees
Sample Size: Q3 2023 (n=4,878)

Looking at the effect of company size, we can see that developers at the largest organisations – those with a thousand or more employees – were the least affected by layoffs. More specifically, 62% of them weren’t affected in any way. This demonstrates that, despite the widely-publicised layoffs from companies like Microsoft, Meta, and Google, the financial difficulties have been felt more keenly at smaller organisations. Understandably, though, 5-digit layoffs at a single company make for attention-grabbing headlines and collecting data on the wider number of smaller organisations is difficult. So here, we present this often under-reported view of how layoffs have affected developers at smaller organisations.

Developers at large enterprises suffered the least from layoffs, but the effects were felt at organisations of all sizes
* % of developers working for organisations of each size
Sample Size: Q3 2023 (n=4,876)

Much of the reporting of these layoffs has focused on large organisations’ attempts to gain efficiencies by flattening their hierarchies. We can see this reflected in our data – the negative impact of the layoffs rises with developers’ level of influence on tool purchasing decisions. 

Developers in senior roles have been hit the hardest by the negative impacts of the layoffs, proportionately, at least. Under half of the decision-makers* remain unaffected as of Q3 2023 – compared to 64% of those not involved in tool selection decisions. Furthermore, more than a third (37%) of decision-makers were either laid off themselves or knew someone else who was. Just 24% of non-decision-makers say the same. 

Decision-makers – with their commensurately higher salaries – were also nearly twice as likely as those not involved in tool selection decisions to feel the financial squeeze from the situation, with 27% experiencing reduced salaries, bonuses, and/or benefits, vs. 14% of those not involved in tool purchasing decisions.

In fact, the impact is such that decision-makers are nearly three times as likely to consider switching career paths as those who are not involved in making decisions in the tool selection process. Decision-makers at small companies (2-50 employees) are the least likely to want to switch, though – 11% say they are considering changing career paths, compared to 20% of those at larger organisations. Smaller companies likely have less red tape and flatter hierarchies anyway.

Decision-makers bore the brunt of the negative impacts – they are twice as likely to have been laid off as those not involved in tool selection decisions
* % of professional developers working in organisations of 2 or more employees that have each level of influence on tool purchasing decisions
Sample Size: Q3 2023 (n=3,998)

*Decision-makers are developers who say that they make the final selection decision for team/company tools, approve expenses on tools & components, or approve the overall team budget for developer tools. Influencers are those who say they are involved in tool selection decisions by making recommendations or influencing decision-makers or are responsible for specifications.

Developers’ influence and the size of the organisation they work at are not the only factors at play in whether or not they have been affected by layoffs. We also must consider developers’ skill levels. Here, we present two views that capture different aspects of developers’ level of expertise:

  1. Years of experience in software development
  2. Where developers learnt to code

The most experienced developers suffered the fewest ill-effects from the layoffs. No matter how you measure it, they are the least likely to have been laid off, know someone who was laid off, or to have experienced reduced salaries, bonuses and/or benefits. Subsequently, just 6% say that they are considering changing career paths. Clearly, these developers have a greater sunk cost to consider than the least experienced – those with two or fewer years under their belts – but this data demonstrates just how essential highly experienced developers are to the smooth running of an organisation.

In fact, being highly experienced appears to mitigate some of the negative effects experienced by decision-makers. For example, 68% of decision-makers with 11+ years of experience saw no negative effects from the layoffs, compared to 39% of those with 3-10 years under their belts. Although decision-makers are the most likely to have experienced negative impacts from layoffs, organisations still recognise the value of having experienced developers in key positions.

The most experienced developers are the least affected by the layoffs
* % of professional developers in organisations of 2 or more employees who have each level of experience in software development
Sample Size: Q3 2023 (n=4,878)

Looking at expertise from another angle – developers’ level of education, we can see that bootcamp-educated developers are at a significant disadvantage, even over those who don’t know how to code. Just 38% of bootcamp-educated developers suffered no ill effects from recent layoffs, and 43% were either laid off or know someone who was. This data indicates that:

  1. Some bootcamps don’t equip developers with sufficient skills to weather storms – these developers are often the first to go, and;
  2. Bootcamp-educated developers have a large network of similarly skilled friends and colleagues who also suffered from these layoffs.

As for those who don’t know how to code – whose outcomes appear better than even developers educated at a postgraduate level – we see that some roles are over-represented:

  • 13% are product managers / marketers / salespeople,
  • 12% are tech/engineering team leads,
  • 12% are system administrators (using visual development tools to manage infrastructure),
  • 11% are business analysts.

All of these roles, though vital to the software development process, don’t necessarily involve writing code, and it appears that these roles are robust to change. Tech/engineering team leads were one of the least affected roles, with 60% of them indicating that they weren’t affected by the recent layoffs. So, whilst middle managers and decision-makers were the most likely to face the axe, many organisations continued to recognise the value of individual contributors and those who manage them directly, regardless of their coding skills. Indeed, AI-assisted programming and visual development tools have reduced the reliance on traditional coding skills, and this area continues to experience rapid change and development.

Developers who learnt to code at a developer boot camps were the most at risk from layoffs
* % of professional developers at organisations of 2 or more employees
Sample Size: Q3 2023 (n=4,802)

It’s never easy to work in uncertain times, especially with the threat of redundancies. The tech sector is in a constant state of flux. Reassuringly, though, the recent explosion of generative AI has made developers feel better equipped to do their jobs, rather than threatened. We’re likely to see further iterations of the boom-bust cycle, and for those who want to feel more secure, it’s more vital than ever to continue building skills. SlashData’s Developer Nation community aims to empower developers to grow and learn in the ever-changing tech landscape. We’ll bring you insights, content, and access to field experts to help you get started or level up your game. Keep an eye on our socials to learn more about the next virtual meetup.

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Community

2023 Year-In-Review: A Year of Firsts, Community Growth and Trust Building

As we bid farewell to 2023, it’s that time of the year again where we reflect on this incredible journey we’ve had together as a developer community this year. With over 80,000+ members, our community has not just grown in numbers but has become a vibrant hub of collaboration, knowledge-sharing, and mutual support. Let’s begin with:

Community Milestones

1. Strength in Numbers

Our community is now a powerhouse with over 80,000+ members worldwide. Your enthusiasm and commitment to help other developers have been the driving force behind this phenomenal growth.

2. Global Insights

The year 2023 saw our survey reaching new heights, connecting with more than 30,000 developers across 165+ countries. The diverse perspectives shared have enriched our community with a wealth of knowledge.

By the way, the 26th Developer Nation survey is live! Unlock valuable insights – start here!

3. Developer Forum Launch

To foster collaboration and mutual support, we launched a dedicated Developer Forum. This platform has become a space where community members can connect, seek advice, and help each other grow, and we’re so excited to see the interesting conversations happening there.

developer nation forums

4. Podcast Triumphs

Our podcast journey in 2023 was spectacular in many ways. Season 1 concluded with impactful discussions featuring experienced guests. To make your podcast experience even better, we’ve launched a new landing page at https://developernation.net/podcast/ for easy access to all episodes.

developer nation broadcast

5. Content Galore

Throughout the year, we published more than 85  new informative blogs and sent out 25 resource-packed newsletters, delivering valuable insights directly to your inbox. To ensure you never miss out, we also created an archive landing page for our old newsletters, open-sourced for everyone on GitHub.

6. Giving back: Surveys, Prizes, and SoGenX

In 2023, we conducted 14 surveys, giving away prizes worth over $58,000 USD to 89 winners. As a testament to our commitment to open collaboration, we also created and hosted the social link-sharing utility app, SoGenX, available at: https://linkgen.developernation.net/ which is used by our team during the survey period.

twitter winner
developer nation swag twitter

7. Bringing  Enterprise Developers on the spotlight

Our Enterprise Developer Interview series shed light on the work of enterprise developers, offering a unique glimpse into their world as first hand experience. Checkout the blog at: https://developernation.net/blog/meet-the-enterprise-developers-interview-series-1-investment-sector

8. Educational Blog Series

We delved into Docker, Linux, and initiated a series on Hardware Security Keys usage. Our commitment to providing valuable content for your professional growth remains unwavering.

9. Developer Nation Writers Club

Recognizing the stars among us, we launched the exclusive Developer Nation Writers Club. This club acknowledges and supports our outstanding blog contributors. If you want to write for Developer Nation, do reach out to me or checkout: https://forum.developernation.net/t/write-for-developer-nation-blog/352

10. Pulse Report Discussions and Video Episodes

Engaging with you in real-time discussions was among our priorities for 2023. A great example was a discussion around the findings of the Pulse Report which was made available on YouTube Checkout the recording here. 

Additionally, we ventured into the visual realm by launching video versions of four podcast episodes. The entire video podcast playlist can be accessed here.

developer nation pulse report q1 2023

11. Year-End Fun: Meme Competition and Virtual Meetup

To cap off the year, we added a touch of humour with the End-of-Year Meme Competition. Congratulations to the winners, and thanks to all who participated! We also organised our very first virtual community meetup, providing an enjoyable space for everyone to connect. You can get a taste of what happened in the meetup here.

developer nation meetup

Looking Ahead to 2024

1. Exciting Podcast Developments

Get ready for more captivating content as we gear up for Season 2 of our podcast. The journey continues with more insightful discussions, industry trends, and expert guests.

2. Expanding Video Content

Our commitment to visual content grows stronger as we plan to publish more video episodes of our podcast. Expect an immersive and engaging experience to enhance your learning.

3. Ambassador Program Launch

In 2024, we’re thrilled to plan and introduce our new Ambassador Program, designed to recognize and empower our active community members. Your contributions will now have an even more significant impact.

4. More Community Meetups

We’ve seen your feedback and it’s incredible that you loved our meet-up and want us to do it more often. Building on that success, we’re excited to announce that more community meetups are on the horizon. These events provide a space for learning, networking, and fostering connections. Newsletter is the best source to stay updated on the next one.

Closing Thoughts

As we step into 2024, our commitment remains steadfast—to bring you more valuable content, foster collaboration, and help each member of our community level up their programming game and make smarter career decisions. Thank you for being an integral part of our incredible journey. Here’s to another year of growth, learning, and success!

Stay tuned, stay connected, and let’s make 2024 an even more remarkable year together!

@iAyanPahwa

Developer Nation Community