Your AI coding agent doesn’t validate its own work. Learn how to use test hooks to enforce local validation before broken commits ever reach your CI pipeline.

Circle is a platform for developers and software teams to collaborate, share knowledge, and streamline their development workflows, offering tools and integrations for code review, continuous integration, and project management. Developers can learn about modern development practices, agile methodologies, and DevOps principles to improve collaboration, increase productivity, and deliver high-quality software efficiently.

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Test hooks connect test and lint commands to lifecycle events in AI coding agents like Claude Code and Cursor. When an event fires (e.g., after a file edit or at session end), the registered command runs automatically and blocks the agent's action if it fails. This creates deterministic local validation that doesn't rely on prompts or agent memory. The post explains the three components of a test hook (event, command, blocking behavior), best practices for layering checks across the agent lifecycle, how hooks complement CI/CD rather than replace it, and how CircleCI's open-source Chunk CLI scaffolds the full setup including an AI code review layer driven by your team's actual PR history.

What are test hooks in AI-native development?