peterwangze/software-project-governance

peterwangze★ 1Python最后同步: 2026-08-13

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AI coding delivery trust layer for evidence-backed planning, review, risk, quality, and release control.

README 摘要

Software Project Governance AI coding delivery trust layer for evidence-backed planning, review, risk, quality, and release control. Software Project Governance helps AI coding agents keep delivery trustworthy while you stay focused on product and technical decisions. It is designed for marketplace reviewers, AI coding users, and teams who need a repeatable way to stop drift, missing evidence, weak review loops, and premature release claims. Marketplace Review Ready Use this workflow when your AI coding setup needs: - Evidence-backed delivery : every meaningful task can carry facts about what changed, why it changed, how it was verified, and what remains risky. - Gate and risk control : stage gates, task status, risks, decisions, and release readiness stay connected instead of living in scattered chat memory. - Reviewer separation with degraded-mode honesty : the workflow distinguishes real independent review from degraded or environment-dependent execution, and does not present every agent as fully supported. - 5-minute orientation for new users : start with /governance , initialize .governance/ , then let the agent resume state, check gates, and surface only critical decisions. 1…

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Tools / Devai-governanceai-workflowsclaude-plugincodex-desktopcodex-plugindshdsh-pluginzcode

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