4def3b46c2
Three-layer model: - papers/ - Domain exploration (full context) - RULEBOOK.md - Tight rules for agents (~200 tokens) - evals/ - Machine-readable rules (future) Source: python-numbers-everyone-should-know benchmarks 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
22 lines
538 B
Markdown
22 lines
538 B
Markdown
# Python Performance ADRs
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Architecture Decision Records for Python performance patterns, distilled from benchmarks.
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## For Coding Agents
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Load `RULEBOOK.md` into context for coding tasks. It's tight (~200 tokens).
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For deeper understanding, load the relevant paper from `papers/`.
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## For Review Agents
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Use `evals/rules.yaml` for automated code review checks.
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## Source
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Distilled from [python-numbers-everyone-should-know](../references/python-numbers-everyone-should-know/) benchmarks.
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---
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See `PLAN.md` for the full methodology.
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