AI Control Framework

Example Use Cases

• 1

  Ensure AI-generated code is deployable and production-ready.

• 2

  Enforce contract stability and mock usage limits during AI coding sessions.

• 3

  Objective deployability scoring and CI/CD integration to automate quality checks.

Description

The AI Control Framework provides a set of tools and scripts to monitor and control AI-generated code development sessions, enforcing contract freezing, mock timeouts, scope limits, and a deployability scoring system (DRS). It helps reduce rework, breaking changes, and deployment time by providing objective measures and guardrails, enabling teams to ship AI code with confidence. The framework integrates with CI/CD pipelines and supports multiple AI assistants, optimized for Claude Code.