Posts
All the articles I've posted.
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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.
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A month of functional scars: 934 fires, one broken validation loop, and what it cost
I wired ten functional scars into my own workspace and let them run for a month. Half the signal came from one hook with documented false positives, and 3,838 captured opportunities sat unread. Here are the numbers and what they forced me to build.