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Everyone expects AI to make their dev team faster. On a real project it made the team better instead: more bugs caught, higher stability, roughly the same amount of human judgment. Here's what to actually expect.
Automation
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Most AI-on-a-team conversations are about developers. One of the highest-leverage agents I built was for the product side: a ticket-quality agent that shows PMs and POs where work bounces back and why.- Published on
Most bugs are catchable at the pull request, if anything actually checks for them. Here is the agentic PR-review and QA setup I built so a multi-dev team stops merging the same kinds of mistakes.- Published on
AI is good at writing a plan and bad at noticing what its own plan forgot. A separate review agent with fresh context catches what the first pass missed. Here is why that works and how I use it.- Published on
Learn how lean software teams out-perform big ones through iteration and focus.