AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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Local-first project intelligence for AI-assisted development.
翻譯準備中
開發工具TypeScript · JavaScriptGitHub @quanghoangf自行安裝營運者未確認
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正在載入完整 README。 以下為已儲存的摘錄。
Spec-driven development for AI coding agents.
Your plan, specs and memory live as markdown in your repo. Claude Code, Cursor or any MCP agent works them task by task,
and you review each task on its tests, screenshots and video.
AI agents write code fast, then forget. The next session rebuilds context from scratch, "done" is the agent's word for it, and the docs drift until nobody trusts them. VibeDoc gives the agent a home in your repo and gives you the proof:檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
Spec-driven development for AI coding agents.
Your plan, specs and memory live as markdown in your repo. Claude Code, Cursor or any MCP agent works them task by task,
and you review each task on its tests, screenshots and video.
AI agents write code fast, then forget. The next session rebuilds context from scratch, "done" is the agent's word for it, and the docs drift until nobody trusts them. VibeDoc gives the agent a home in your repo and gives you the proof:檢視完整 README ↗