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History
Florian BRUNIAUX 895ace49f7 docs: add Borg et al. 2025 RCT on AI code maintainability (v3.27.7) 
- Resource eval: arXiv:2507.00788 "Echoes of AI" (151 devs, 95% pros,
  2-phase blind RCT) — 30.7% faster median, ~55.9% habitual users,
  no significant downstream maintainability impact
- guide/learning-with-ai.md: citation + "On maintainability fear" note
- guide/ultimate-guide.md: nuance blockquote in §1.7 Trust Calibration
- machine-readable/reference.yaml: 4 new RCT/maintainability entries
- docs/resource-evaluations/: evaluation file with technical-writer audit

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-19 09:59:50 +01:00
..
claude-code-releases.yaml docs: update Claude Code releases to v2.1.47 2026-02-19 08:37:31 +01:00
cowork-reference.yaml docs: complete Cowork documentation v1.0 (Phase 2) 2026-01-20 11:23:43 +01:00
llms.txt chore: update guide content and add new examples 2026-02-18 18:48:19 +01:00
README.md refactor: restructure repo into thematic directories v3.1.0 2026-01-13 15:30:02 +01:00
reference.yaml docs: add Borg et al. 2025 RCT on AI code maintainability (v3.27.7) 2026-02-19 09:59:50 +01:00

README.md

Machine-Readable References

Files optimized for LLM/AI consumption.

Contents

File Description Tokens
reference.yaml Structured index with line numbers for deep dives ~2K
llms.txt Standard LLM context file for repository indexation ~1.5K

Usage

Give Claude Code instant expertise

# Paste into any AI assistant
curl -sL https://raw.githubusercontent.com/FlorianBruniaux/claude-code-ultimate-guide/main/machine-readable/reference.yaml

Reference in Claude Code

@machine-readable/reference.yaml

Add to system prompts

Include the YAML content in your AI assistant's system prompt for Claude Code expertise.

Back to main README