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Stack Overflow Blog

Paging Charity! How can engineering leaders avoid becoming Bond villains? Code isn’t the only thing causing your production failures Your AI shipped a backend that boots. That is the whole problem. The 2026 Developer Survey is now open (for human developers only)! Oh the places you’ll go with spatial data Dispatches from O'Reilly: From capabilities to responsibilities You don’t understand DNS like you think you do The new bottleneck - Stack Overflow AI agents are a confused deputy with the keys to your kingdom If context is king, architecture is the castle Selenium vs Cypress vs Playwright: Choosing Your Test Automation Framework AI agents expose the security checks you never actually wrote Designing CherryScript: Optimizing Data-Driven Workflows via Custom Python-Based Interpreters Paging Charity? How do I get my leaders to stop running teams Into the ground? Developers are emotionally attached to their tools When the cost of code approaches zero, what does engineering leadership look like? Announcing Stack Overflow for Agents Creating checkpoints by gaslighting a Postgres database What can 500 years of journalism teach developers about AI trustworthiness? Making the OWASP top ten in the vibe code era What it takes to be a player in the international AI game Best of the Heap: First post of the past The find out stage of AI is just supply chain and password protection In an AI world, the most valuable developers will be both artisans and builders Agents on a leash: Agentic AI remains mostly single-agent and monitored at work Do you have what it takes to run AI in production? 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The logos, ethos, and pathos of your LLMs Why demand for code is infinite: How AI creates more developer jobs AI attention span so good it shouldn’t be legal Code smells for AI agents: Q&A with Eno Reyes of Factory Generating text with diffusion (and ROI with LLMs)
Human input needed: take our survey on AI agents
Erin Yepis · 2026-04-15 · via Stack Overflow Blog

AI agents are everywhere. Last June, 31% of you said you were using them. Since then, they’ve graduated from auto-completing snippets to handling the heavy lifting, sometimes even building entire software tools from the ground up. In fact, research shows that PRs handled by agents and humans together often have better testing than those done by humans alone. We’re not hurt; we’re just taking notes.

The way we work is changing. You’re moving from being the person who writes every line to the one who edits and governs the output. We want to know where you sit on the spectrum of autonomy. Are you still "human-in-the-loop," or have you moved to "human-on-the-loop," overseeing a bot that’s doing the driving?

As part of our research into how software engineers work, we’re fielding a new survey on agent use in the workplace. We’ve asked about AI use, but the way AI works with us has changed, so we want to know if your work has changed too. Do you let agents run autonomously? Do you pay per token or flat rates? Most importantly, are agents helping?

Chime in and help us define the new limits of responsibility. It only takes a few minutes, and unlike your agent, we won’t try to refactor your entire codebase while you’re at it.

Take the survey.

This survey will be open until April 30. In May we’ll share the results.