{"repo":"baokhang83/fluencyloop","free":true,"listed":false,"github":"https://github.com/baokhang83/fluencyloop","clone":"git clone https://github.com/baokhang83/fluencyloop.git","description":":star: AI-assisted development workflow that produces understanding alongside code. Teach, capture decisions, document, assemble reviews.","language":"HTML","stars":43,"topics":["ai","claude","development","engineering","fluency-driven","claude-code","dev-tools","git-workflow","llm-agents","claude-code-plugin"],"license":"Apache-2.0","category":"ai-agents","readme_excerpt":"FluencyLoop FluencyLoop captures the decisions behind each feature while your agent builds it, so the codebase remains explainable. Table of contents - 🧭 The workflow - ✨ What it gives you - 🧱 What gets committed - 📦 Install - 🗑️ Uninstall - 💬 Help shape FluencyLoop - ✅ Requirements - 📚 More detail - 📄 License 🧭 The workflow Initialize the project once, then run one feature loop per branch. Use plan only when the work is too large for a single feature. Step Claude Code Codex What it does ------ ------------- ------- -------------- 1. Initialize fluencyloop init fluencyloop init Creates the project state and an empty constitution. Plan and feature also do this automatically if needed. 2. Plan (optional) /fluencyloop:plan $fluencyloop:plan Designs the architecture and breaks a large initiative into feature-sized tasks. 3. Build + learn /fluencyloop:feature $fluencyloop:feature Creates a feature branch and design, builds in slices, teaches each real decision, and journals it. 4. Review /fluencyloop:review $fluencyloop:review Assembles the branch's sessions and decisions into a reviewer-facing PR view. For normal-sized work, the practical path is init → feature → review . For a large initiative, run plan first, then repeat feature → review for each task in its roadmap. If work was merged without the loop, use /fluencyloop:backfill in Claude Code or $fluencyloop:backfill in Codex to reconstruct its design and decisions. Reconstructed decisions are recorded as unverified by","default_branch":null,"files":null,"tree":[],"storefront":"/r/baokhang83","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/baokhang83/fluencyloop/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}