AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
Meta-orchestrator for closed-loop refactor automation across IDEs and semcod repos — detect, plan, execute, verify, heal, repeat.
Developer toolsPython · TypeScriptGitHub @semcodOnlineOwner unconfirmed
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Closed-loop automation across semcod/ repositories.
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Taken from the repository README
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The release demo is published as a CI artifact; generated media is not kept in the source checkout. • 🤖 LLM usage: $14.0395 (784 commits) • 👤 Human dev: ~$29608 (296.1h @ $100/h, 30min dedup) Python package for closed-loop refactor automation across multi-repo workspaces (validated on semcod/*, maskservice/c2004, and other monorepos). The name refers to Koru (Māori spiral), matching the "spiraling loop" refactor flow: detect → plan → execute → verify → heal → repeat.Read the full README ↗
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The release demo is published as a CI artifact; generated media is not kept in the source checkout. • 🤖 LLM usage: $14.0395 (784 commits) • 👤 Human dev: ~$29608 (296.1h @ $100/h, 30min dedup) Python package for closed-loop refactor automation across multi-repo workspaces (validated on semcod/*, maskservice/c2004, and other monorepos). The name refers to Koru (Māori spiral), matching the "spiraling loop" refactor flow: detect → plan → execute → verify → heal → repeat.Read the full README ↗