Test Generation

Agents can generate unit tests, integration tests, and test fixtures by analyzing your code's behavior, edge cases, and type signatures, which makes them useful for adding coverage to legacy codebases that have little or none. The key risk is that generated tests tend to encode current behavior rather than intended behavior, potentially locking in existing bugs as passing tests and producing a false sense of confidence. The most reliable pattern pairs human-written test specifications that define correctness with agent-written implementation that satisfies them, ensuring the tests reflect intent rather than whatever the code happens to do today.