Comprehensive documentation on AI code attribution and disclosure: - New guide: guide/ai-traceability.md (~640 lines) - LLVM "Human-in-the-Loop" policy (Assisted-by trailer) - Ghostty mandatory disclosure pattern - Fedora contributor accountability framework - git-ai tool documentation - PromptPwnd security vulnerability - Four-level disclosure spectrum - Implementation guides (solo, team, enterprise) - Templates: examples/config/ - CONTRIBUTING-ai-disclosure.md - PULL_REQUEST_TEMPLATE-ai.md - Cross-references added to: - ultimate-guide.md (after Co-Authored-By section) - learning-with-ai.md (after Vibe Coding Trap) - security-hardening.md (See Also) - guide/README.md (table of contents) - reference.yaml: 14 new entries for AI traceability topics Source: Vibe coding needs git blame (Piotr Migdał, Jan 2026) + Perplexity research on LLVM, Ghostty, Fedora policies Co-Authored-By: Claude <noreply@anthropic.com> |
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| claude-code-releases.yaml | ||
| cowork-reference.yaml | ||
| llms.txt | ||
| README.md | ||
| reference.yaml | ||
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.
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