Claude Code can produce code that looks reasonable, so tests are essential for proving that the behavior is correct. Before implementation, identify the tests that already cover the feature and identify important cases that are missing. Tell Claude Code exactly which test command should be run and which acceptance criteria must be verified. Include normal cases, edge cases, invalid input, permission failures, and important error conditions when they matter to the feature. For a bug fix, first create or identify a regression test that demonstrates the problem, then make the smallest change that fixes it. Ask Claude Code to run tests after implementation and to investigate failures instead of simply ignoring them. Automated tests give the AI objective feedback, allowing it to correct repetitive implementation work without requiring you to inspect every line manually. The more reliable your tests are, the more confidently you can use Claude Code for larger changes.

The articles and images featured on this platform were generated with the assistance of AI tools.