AI for Developers

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AI for Developers

Here’s How We’re Using AI Analysis in Developer Tooling

The insight isn't just about adding AI analysis to your tooling. It's about deliberating on what problem you're asking it to solve.

AI for Developers

In software's history, the limit on what you could ship was how fast you could type and build. Execution got cheap. Attention got expensive.

AI for Developers

While generating comparison concepts with a model, I had to change the team's approach; the AI couldn't have asked the question that mattered.

AI for Developers

Every permission prompt is supposed to be a checkpoint where a human looks at what the AI is about to do and decides whether it's safe.

AI for Developers

The size of the task you can hand to a coding agent is bound by the quality of its feedback loop and its ability to validate its work.

AI for Developers

Drowning in markdown specs? Here's how I used AI to build a lightweight, regenerable HTML spec dashboard for faster, cleaner reviews.

AI for Developers

Frontier models are powerful, but increasingly expensive. Are local models a good option for helping to carry some of the workload?

AI for Developers

If code can only be modified safely by the original developer with the original agent setup, then the delivery is weaker than it looked.

AI for Developers

Agentic Android development works best when agents can build, install, run, test, and validate features against real devices or emulators.

AI for Developers

What does coding with AI look like in practice? From one developer to another, here’s my journey to find an agentic framework.

AI for Developers

AI coding tools are getting wildly useful. You might think that if AI can write code, architecture matters less. I think the opposite's true.

AI for Developers

We are producing more with AI. What we’re producing less of, apparently, is honest reflection on what that actually means.