fix(voice/consistency): vary stock formulas, vendor-balance orient.py, unify the loop
- Vary 11 instances of two boilerplate openers ("A generic X course…" /
"Strip away X…") across 10 modules so they read as distinct, concrete prose;
kept the few deliberate, voice-distinct uses; locked exemplars untouched.
- M23 orient.py: detect a vendor-balanced set of AI-instruction filenames
(AGENTS.md/CLAUDE.md/GEMINI.md/.cursorrules/.cursor/rules/copilot-instructions)
instead of singling out one vendor. Still runs.
- Render the collaboration loop consistently as seven stations
(issue->branch->implementation->PR->review->merge->closed) in M25/M26 to match
M11 and the syllabus.
Closes #48
Closes #49
Closes #51
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TfzV5QvtPDz8LJS3Pu5VLT
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@@ -144,10 +144,10 @@ in unfamiliar code," they encode *exactly* what careful means, as steps the AI f
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## The AI angle
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A generic "onboarding to a legacy codebase" guide would tell a human to read the README and ask a
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senior dev. What's specific here is that **the AI is both the thing reading the codebase and the
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thing most likely to confidently misread it** — and the bigger the repo, the wider that gap between
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"sounds authoritative" and "is correct."
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Onboard a human to a legacy codebase and the advice is familiar: read the README, ask a senior dev.
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What's specific here is that **the AI is both the thing reading the codebase and the thing most
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likely to confidently misread it** — and the bigger the repo, the wider that gap between "sounds
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authoritative" and "is correct."
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So the AI-specific discipline is verification, not exploration. The model is genuinely excellent at
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the grunt work of orientation — reading a hundred files, summarizing structure, tracing a call path —
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@@ -49,8 +49,14 @@ SIGNALS: dict[str, str] = {
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"README.md": "Has a README — read it first",
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"CONTRIBUTING.md": "Has contributor guidance — read before changing",
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"ARCHITECTURE.md": "Has an architecture doc — rare and valuable",
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# Committed AI-instruction files. Name the real ones across vendors — singling out one
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# would both miss files and cut against the vendor-neutral point (Module 5).
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"AGENTS.md": "Has a committed AI instructions file (Module 5)",
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"CLAUDE.md": "Has a committed AI instructions file (Module 5)",
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"GEMINI.md": "Has a committed AI instructions file (Module 5)",
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".cursorrules": "Has a committed AI instructions file (Module 5)",
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".cursor/rules": "Has a committed AI instructions file (Module 5)",
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".github/copilot-instructions.md": "Has a committed AI instructions file (Module 5)",
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}
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# Common test-runner hints keyed off a present signal file.
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