AI-Governor-Framework

The AI Governor Framework provides a structured system for governing AI coding assistants through in-repository rules and workflows. It teaches AI agents your project's architectural decisions, coding standards, and constraints, eliminating inconsistent or buggy code generation. The framework uses two core components: a Governance Engine with passive rules that run automatically, and an Operator's Playbook with step-by-step protocols for planning, implementation, and quality review. It integrates directly with Claude Code, Cursor, and other AI assistants via custom commands. Built on Context Engineering principles, it keeps all governance rules and architectural context versioned in your repository, ensuring consistency across your team and predictable code quality at scale.

1. **Configure the Framework:** Set up the [GOVERNOR_FRAMEWORK_NAME] by linking your project's standards documents (e.g., `standards.yaml`, `architecture.md`) to the AI Governor. Use tools like GitHub Actions or a custom CLI to automate this. 2. **Integrate with AI Assistants:** Configure your AI coding assistant (e.g., Claude, Cursor) to use the AI Governor as a pre-commit hook or review step. For example, in VS Code, add the Governor as a Language Server Protocol (LSP) extension. 3. **Run Reviews:** Paste the `prompt_template` into your AI assistant, filling in [PLACEHOLDERS] with your project context. For large changes, review files incrementally (e.g., one module at a time) to avoid overwhelming the AI. 4. **Act on Feedback:** Use the Governor's output to prioritize fixes. High-severity violations (e.g., security risks) should be addressed immediately, while lower-severity items can be scheduled for future sprints. 5. **Iterate:** Update your standards documents in the Governor's configuration whenever your project's architecture or coding standards evolve. Re-run reviews after major changes to ensure ongoing compliance.