Adding Tests to Your Sweep AI Project

Most Sweep AI projects ship with zero tests. This means every change is a gamble — you might fix one thing and break three others without knowing until a user reports it. Tests are automated checks that verify your app works correctly. They run in seconds and catch bugs before your users do.

Sweep can generate tests for the code it writes. Ensure your repository has clear testing conventions and Sweep will follow them. Review generated tests to confirm they actually test the feature, not just call it

Review Sweep-generated tests for coverage of edge cases and error paths. Check that the tests would fail if the feature were removed — superficial tests that pass regardless of implementation correctness are common in AI-generated test suites

Unit tests check individual functions in isolation — does this function calculate the right total? Integration tests check that multiple pieces work together — does submitting this form save to the database? End-to-end (E2E) tests simulate a real user — can someone sign up, log in, and complete a purchase? Start with E2E tests for your most critical flows, then add integration tests for your API endpoints.

Set up your tests to run automatically on every code push using GitHub Actions or a similar CI service. This way, you'll know immediately if a change breaks something. A basic CI pipeline runs your tests, checks for TypeScript errors, and builds the project. If any step fails, the push is flagged before it reaches production.