With the release of JDK 26, we've now seen 17 versions of Java delivered under the six-month release cadence, a success by any measure. This release delivers 10 JEPs, slightly below average, and is notable as the first version in which no preview features have been finalized. That's not a gap in the pipeline; it reflects the preview process working as designed, with features staying in open for changes until real-world feedback confirms they're ready. JDK 26 is not a long-term support release, but for teams running CI/CD pipelines with frequent deployments, it's a production-quality environment with immediate benefits ...

Software development was supposed to move to the cloud a decade ago ... Nearly every form of knowledge work has migrated online, but developers still work on their laptops. The reason is simple: there hasn’t been a compelling case to leave ...

Software development is entering one of its most transformative periods in decades ... The boundaries between development, design, and data are dissolving — paving the way for adaptive systems that learn, predict, and collaborate alongside human teams. In our trends report, 2026 Outlook: The Transformation of Software Development, we explored the forces shaping this next chapter in digital innovation, including software privacy and governance trends, how AI is changing analytics experiences, and the merging of conversational AI with design-to-code ...

Over the years, developer productivity has become a key indicator for any software-driven company. When developers are engaged and productive, revenue, innovation, and security improve significantly. However, as Goodheart's law dictates, "When a measure becomes a target, it ceases to be a good measure," and current approaches — from extensive measurement to subjective surveys — risk demotivating developers and hindering productivity if they aren't implemented thoughtfully ...

As we look back on 2025, it's clear that this was the year AI moved beyond simple code assistance and started reshaping how engineering teams design, orchestrate, and deliver software. This shift is already having a profound effect across the industry and reshaping roles, especially for senior developers ...

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 3 covers more about AI's impact on coding including vibe coding ...

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 ...

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 ...

Widespread enterprise adoption has cemented artificial intelligence as an integral part of software design, development, and delivery. Relatively new to the scene, agentic AI is poised to double down on the speed and agility of simpler applications of AI, positioning it as a powerful business enabler. Recent research conducted by OutSystems revealed a clear trend: AI agents are maturing from experimental tools to central players in software development and business operations ...

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 ...

As organizations deploy increasingly sophisticated Artificial Intelligent (AI) agents and autonomous systems, a critical architectural challenge is emerging: the need to seamlessly handle both continuous data streams and separate task execution within the same infrastructure ...

If you hired a junior developer who made up package names at a rate of 20%, how long would they last? Let's say they work 24/7, take negative feedback without blinking, and write code faster than anyone you've ever met. Does that change the equation? ... The Cloudsmith Artifact Management Survey 2025 showed that, when speaking to developers using AI, 42% said their codebase was now mostly AI-generated. Without thorough reviews, that's a big problem for anyone in the organization in charge of the CI/CD pipeline ...