Posts
All the articles I've posted.
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Anatomy of a four-minute boot
Where my Claude Code sessions actually spent their first four minutes, and what cut it to thirty seconds without losing any context. Hooks were three seconds of the problem. The model's diligence was the rest.
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How do you know a correction held? Instrumenting an agent in production
Functional scars make a correction persist. They don't tell you whether the system as a whole is getting better. So I instrumented every session — deterministic, zero-token, never blocking — and let a monthly pass turn the evidence into mechanism changes. The first thing the data caught was me.
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The same scar, two agents
fscars 0.4.0 promotes the Codex adapter from instructions to native hooks. A correction you write once now fires deterministically in both Claude Code and Codex — and the scar itself does not change. Here is how each side works, and the one honest limitation.
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Calibrate against your own voice
AI detectors flag non-native English as machine-written. callus scores your draft against your own voice instead. pip install callus.