Insights
Field notes on shipping AI inside real systems.
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Forward-deployed engineering: the model is the easy part
What a forward-deployed engineer does, how the role relates to staff augmentation, and what we learned connecting AI to our own platform's rules and workflows.
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Documentation that keeps itself current: the agent proposes, your team approves
Docs drift because updating them is nobody's job. Give the job to an agent that detects the drift, drafts the fix, and opens a pull request — and keep the approval where it belongs.
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AI can write the code. It can't be accountable for it.
Coding agents are fast and confidently wrong. The teams that ship well with them didn't find a better model — they kept the discipline the model can't supply: specs, review, tests, gates, and a name on every release.
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