Are you still "human-in-the-loop," or have you moved to "human-on-the-loop," overseeing a bot that’s doing the driving?

Erin Yepis, Ryan Donovan

The most valuable AI tools in your enterprise stack do more than generate answers. They help developers determine which answers to trust.

Eira May

AI tool use is inescapable...especially if you're a young person trying to get an edge in an increasingly difficult job market. But cognitive offloading is dangerous, no matter what age you are. Building a knowledge base can save your brain and skills from atrophy.

Phoebe Sajor

Adoption and trust are moving in diametrically opposed directions, and that gap has real implications for organizations deciding how to spend money on software.

Eira May

Coding guidelines and standards for agents need to be a little different—more explicit, demonstrative of patterns, and obvious.

Ryan Donovan

The risk isn’t just that we’ll get lazy and become lousy at critical thinking; the risk is that we’ll outsource our judgement and lose the ability to make qualitative, moral, and interpersonal judgments altogether.

Ryan Donovan

The difference between AI that impresses people in demos and AI that drives production value is context.

Eira May

So many platforms feel heavy because they mirror the organization, not the architecture the organization claims to want.

Adora Nwodo, Peter O'Connor

From interoperability to knowledge architecture to creating AI tools people can actually use, here’s a recap of what we learned from DeveloperWeek 2026.

Phoebe Sajor

Come check out the new Stack Overflow beta experience, tell us what you think, and help shape what’s next.

Zach Rutta

API and network traffic get all the press, but some folks are still trying to build a better upload scanner.

Ryan Donovan

Developer trust is synonymous with a willingness to deploy AI-generated code to production systems with minimal human review, as well as assurance that AI tools aren’t introducing unacceptable risks and technical debt that will burden you down the line.

Eira May

There are big hitters in the AI space that use this tech for humanitarian and environmental good—from start-ups fighting climate change to voice recognition experts diagnosing diseases. But you don't need to be backed by AWS or Microsoft to do good. In part two of this series, we dive into how anyone can use AI for good.

Phoebe Sajor

In a world where AI is replacing human workers, using up energy and water, and deepening disconnect, is AI for humanitarian good even possible? The answer is yes. In the first part of this two-part series, we're taking a look at just a few AI do-gooders and what they're doing to fight climate change, make healthcare more accessible, and help their communities.

Phoebe Sajor

Not only is there a future for software development, but we’re on the cusp of enormous demand for code developed by humans.

Eira May

Quality software still needs high-quality code, AI agents or not.

Ryan Donovan