lfe-mutation-verify

AI-driven mutation testing analyzes code changes by reasoning about hypothetical mutations to identify issues existing tests might miss. This approach operates within the LFE pipeline without requiring a test runner to verify code quality.

Run the `/lfe-inspector` command to enable mutation testing for your code changes within the LFE pipeline. This activates the Inspector sub-skill, which uses AI reasoning to verify that changes do not introduce bugs that existing tests might miss.

AI reasoning mutation testing is a technique that analyzes hypothetical code mutations to find issues existing tests might miss. Instead of executing a test runner, it uses AI to reason about whether current tests would catch the mutated code, identifying potential gaps in test coverage.

No, you do not need a test runner to verify code quality with this mutation testing approach. The Skill uses AI reasoning within the LFE pipeline to analyze whether hypothetical code mutations would be caught by existing tests, eliminating the test runner requirement.

You should use AI mutation testing when a developer makes changes to a codebase and needs to verify that the changes do not introduce new bugs that existing tests might miss. It operates within the LFE pipeline as an Inspector sub-skill to ensure code quality during development.