Resource evaluated: "What I Learned Challenging Claude to a Coding Competition" by Steve Croce (Anaconda Field CTO, Jan 16, 2026) Score: 2/5 (Marginal - Info secondaire) Integration: - Added "Community Experiences" section in guide/learning-with-ai.md - 2-paragraph mention with strong caveats (N=1, non-representative context) - Full evaluation in docs/resource-evaluations/anaconda-croce-evaluation.md - Updated reference.yaml count (14 → 16 evaluations) Rationale: - Provides light empirical validation (90s vs 60min on Advent of Code) - Highlights "collaboration cost" angle (decreased Slack engagement) - Limitations prevent extensive integration (solo puzzles ≠ team dev) - Commercial bias noted (Anaconda blog by Anaconda CTO) Technical review challenged initial 4/5 score → adjusted to 2/5. Maintains guide rigor through minimal integration + explicit caveats. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> |
||
|---|---|---|
| .. | ||
| 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.
Back to main README