ai-regression-testing

Regression testing for AI-assisted development stops recurring bugs by encoding known failure patterns as stable test cases. You create bug-specific assertions that catch repeating blind spots whenever the same model writes and reviews code.

Sandbox mode API contract testing forces mock execution and asserts response shapes without a database. You need it for backend route changes, multi-path logic, and feature-flagged code to catch regressions immediately in a DB-free environment.

Write vitest regression tests by forcing sandbox mode in your test setup and asserting response contracts for newly added fields. Add parity checks to verify both sandbox and production execution paths return consistent required data shapes.

Yes, sandbox and production parity testing works DB-free by forcing mock mode and asserting that both execution paths return the same required fields. This prevents failures where code is fixed in production but remains broken in sandbox.

The best bug-check workflow runs API test suites in sandbox mode before AI review, asserting all required response fields for affected endpoints. After review, add regression tests per fix to prevent the AI from repeating the same errors.

AI code review misses path inconsistencies because the same model writes and reviews the code, creating blind spots. Encoding exact bugs as regression assertions—like checking for missing fields or incorrect SELECT clauses—catches what the model overlooks.