Introducing PermitFlow: Governance for AI Coding Assistants

The --dangerously-skip-permissions flag has become the default for teams using AI coding assistants. We click it, accept the risks, and hope nothing breaks. But what happens when you need to know what your AI actually did ? The Governance Gap Modern AI coding tools (Cursor, Claude Code, GitHub Copilot) operate with broad permissions: Read/write access to your entire codebase Ability to run shell commands Git commit and push capabilities The tradeoff is clear: either accept every permission request blindly (destroying flow), or skip them entirely (destroying security). Neither option gives you: Audit trails for compliance Accountability for decisions Visibility into AI actions Enter PermitFlow PermitFlow introduces a governance layer between developers and AI assistants: Permission Templates Define once, reuse everywhere: template : standard-web-dev permissions : - file_read : " ./*" - file_write : " ./src/*" - shell_run : " npm install" requires_approval : - file_write : " ./db/*" - sh