I've spent most of my career working with engineering teams at very different stages — early builds, rapid scale, and the phase where things start to break under their own weight. What feels different right now isn't just the speed of change. It's the type of systems we're building. AI isn't sitting on the edges anymore. It's inside core workflows. And once you do that — once models are influencing real decisions — you're not just shipping software. You're managing behavior. That's a very different job ...
Dev Culture
AI tools are now embedded across development workflows, but the accountability model hasn't fundamentally changed. Engineers have always been responsible for what ships, regardless of the tools they use. When compilers became more sophisticated, we didn't stop holding developers accountable for their output. AI is another abstraction layer. What's changing is not responsibility, but visibility. AI is exposing gaps that already existed — in validation, testing, and ownership — but were less obvious in more manual workflows ...
New trends data released by HackerEarth, a platform helping companies screen and hire software engineers, suggests the market is stable but cautious, with steady hiring activity through 2025 and increased investment in evaluation mechanisms to reduce hiring risk heading into 2026 ...
News reports have announced that developers will become obsolete, with AI destined to eliminate these roles entirely. Fear-driven organizations have reduced their recruitment efforts. However, the data tells a different story ...
Industry experts offer thoughtful, insightful, and often controversial predictions on how DevOps, development and AI-powered dev tools will evolve and impact the industry in 2026. Part 5 covers AI's impact on developer roles ...
Industry experts offer thoughtful, insightful, and often controversial predictions on how DevOps, development and AI-powered dev tools will evolve and impact the industry in 2026. Part 4 covers AI's impact on developers ...
The Holiday Season means it is time for DEVOPSdigest's annual list of predictions, covering DevOps and software development. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how DevOps, development and AI-powered dev tools will evolve and impact the industry in 2026 ...
When building an AI team, start by recruiting people who demonstrate genuine curiosity, grit, and technical versatility across AI, ML, and software engineering. Get this right, and your team will thrive at the cutting edge, maintain expertise, and stay current on AI advancements. Unexpectedly, once you've hired the right people and established a strong center of AI excellence within your organization, your real challenges begin ...
The landscape of software development is undergoing a massive shift driven by the rise of autonomous AI agents. These smart systems are giving organizations transformative avenues to accelerate delivery, improve quality, and simplify complex workflows. This fundamentally changes how software is built and maintained ... This shift highlights the importance for today's developers to master AI literacy ...
Dan Twing and Tom O'Rourke are joined by Pete Goldin of DEVOPSdigest on the Enterprise Automation Excellence Podcast to discuss EMA's recent survey of AI-powered development and DevOps tools. The research shows high adoption rates of AI-native development tools with broad use of AI integration in core processes. This early success has created cautious optimism, however, significant governance gaps exist in many organizations ...
A recurring theme emerges in my discussions with technology leaders: despite leading hundreds or thousands of engineers with mature development processes, they're often overwhelmed by organizational complexity. The root cause is the maze of department-specific tools and processes that have evolved independently over time, creating a paradox where adding more engineering talent actually slows delivery rather than accelerating it ...
Companies evolve rapidly from ambitious startups to established enterprises — and each transition demands a different leadership approach from their Chief Technology Officer ... There are three CTO operational models: Builder, Strategist, and Guardian. In this piece, you will learn how to identify which leadership model aligns with your company's current needs, and more importantly, how insights from customers can inform your technical leadership ...
We're in a moment of rapid transformation in how software developers approach their work. According to our Dev Barometer Q3 2025 findings, 65% of developers say they're worried about falling behind on AI skills, and they're taking matters into their own hands. They're saving, on average, over seven hours a week thanks to AI tools, and most are reinvesting that time into learning. They're not waiting for permission or a better timing to learn. They're teaching themselves new skills, diving into prompt engineering (44%), AI/ML specialization (45%), and learning how to use AI to boost productivity across the board ...
Everybody's talking about AI replacing developers ... After years of building AI-powered development tools and watching how professional teams actually use them, I'm convinced the "AI is killing developer jobs" narrative is overstated. The real shift is more nuanced: fewer junior roles over time, but dramatically increased demand for experienced engineers who can work effectively with AI ...
The software development landscape is shifting in ways that demand completely new thinking about team dynamics and collaborative workflows. As AI capabilities expand beyond simple code completion, we're now seeing how human creativity and artificial intelligence can collaborate as partners. This transformation isn't just about adopting new tools or automating existing processes. It represents a complete reimagining of how high-performing teams approach software innovation ...
AI is no longer an optional add-on in app development ...According to App Builder's 2025 App Development Trends Report, 87% of tech leaders say their teams are already using AI in app development. And, as the technology becomes more deeply integrated into development workflows, companies are shifting their hiring priorities to match. Nearly three-quarters (71%) of tech leaders say AI and machine learning skills are non-negotiable when hiring developers ...
Now that AI is an integral part of software development, Jellyfish took another pulse-check on how organizations are adopting AI, which coding tools they're deploying, how they're paying for their AI investments, and more ... Here are 10 key takeaways from the 2025 State of Engineering Management report ...
In the fast-evolving landscape of software development, 2025 marks a turning point: artificial intelligence is no longer just a tool — it's a central strategy. According to new findings from the 2025 Reveal Software Development Challenges Survey part two, a remarkable 73% of technology leaders now cite expanding AI use as their top priority ...
Gartner announced the top strategic trends in software engineering for 2025 and beyond. These trends enable organizations to accelerate innovation through AI-driven automation and adopt efficient, future-ready engineering practices ...
Behind every piece of software that lands in the hands of a customer is a story of chaotic collaboration, shifting priorities, and heroic project rescue missions. And the thing holding it together? It's not just process or tooling. It's strategy ...
Disconnect between the promise of engineering excellence and the day-to-day realities inside most software teams is growing, according to The State of Software Engineering Excellence 2025 from Harness ...
Contrary to what you've read, generative AI (GenAI) doesn't spell the end of software developers. Yes, IT has joined a list of business operations earmarked for AI rollout as executives buy into the idea that well-trained algorithms can make their operations more "efficient." Rather than eliminating software engineering, AI is transforming the role, and with employers expecting to increase hiring, the question is how developers leverage AI and adjust to the new role ...
DevOps teams are uniquely positioned to drive both technological and business success, yet their impact is often overlooked ... Here's how DevOps teams can gain the recognition they deserve — highlighting their impact and proving their indispensable value ...
In Part 18, the final installment in this series, experts offer predictions about how AI will impact developers in 2025 and beyond ...
In Part 13 of this series, experts offer some final recommendations to ensure success while using AI to support software development ...





