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docs: link CodeJoust in Related Projects
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@@ -171,6 +171,13 @@ No, and that's intentional. CoreCoder is the minimal runnable core — agent loo
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If you want Skills specifically, the recipe is small: scan `~/.claude/skills/*.md` at startup, list their titles in the system prompt, and let the agent ask for a skill by name before you inline that file's body into the conversation.
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## Related Projects
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- **[CodeJoust](https://github.com/he-yufeng/CodeJoust)** — a CLI arena that races Claude Code, aider (Codex/Cursor/Gemini next) on the same bug in isolated git worktrees, scores by tests+cost+diff+time, hands you the winning patch. If you ever wondered *which* AI coding CLI is actually better for your task, CodeJoust answers it empirically.
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- **[AnyCoder](https://github.com/he-yufeng/AnyCoder)** — a practical terminal AI coding agent built on the same architecture as CoreCoder but with litellm, session persistence, and 100+ model support. Use this one if you want a tool; use CoreCoder if you want to read source.
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- **[LiteBench](https://github.com/he-yufeng/LiteBench)** — one-command LLM / agent benchmark. Ships 7 built-in tasks (HumanEval/GSM8K/MMLU/...) and YAML-defined custom tasks, with a single-file HTML dashboard.
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- **[RepoWiki](https://github.com/he-yufeng/RepoWiki)** — open-source DeepWiki alternative. `pip install repowiki`, one command to turn any local or GitHub repo into a wiki with dependency graph, architecture diagram, and LLM-generated module pages.
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## License
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MIT. Fork it, learn from it, ship something better. A mention of this project is appreciated.

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