AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻譯準備中
一個開源軟體,於每項任務前將您程式碼庫已學習的課程交給您的程式碼代理,透過檢查驗證,並在其涵蓋的程式碼變更時標示。
AI 翻譯
An open-source tool that hands your coding agent the lessons your codebase already learned before each task, proves them with checks, and flags them when the code they cover changes.
開發工具Python · ShellGitHub @emeraldleaf上線中營運者未確認
試用過了嗎? 點一下就好,不需要登入。
您的程式碼代理可信的教訓:在每項任務前先行說明,經檢查驗證,當其覆蓋的程式碼變更時即時標記。可與 Claude Code 及任何 MCP 代理一起使用。
AI 翻譯
Lessons your coding agent can trust: briefed before every task, proven by checks, and flagged when the code they cover changes. Works with Claude Code and any MCP agent.
取自儲存庫 README
正在載入完整 README。 以下為已儲存的摘錄。
A learning loop that keeps coding agents — and your docs — from drifting.
Engineering rules, architecture decisions, documentation and diagrams: recorded once, briefed to
Claude Code or any MCP agent before every task, proven by checks, and flagged in CI when what they
govern changes. Use it in one repo, or share one store across every repo your team runs.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。
A learning loop that keeps coding agents — and your docs — from drifting.
Engineering rules, architecture decisions, documentation and diagrams: recorded once, briefed to
Claude Code or any MCP agent before every task, proven by checks, and flagged in CI when what they
govern changes. Use it in one repo, or share one store across every repo your team runs.檢視完整 README ↗