Why TDD Still Matters When AI Writes the Code

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The author argues that test-driven development remains valuable even as AI agents generate much of the code. Research cited shows that providing tests before code generation substantially improves results, while tests written after the code tend to mirror existing bugs. The author recommends having developers write scenario-based tests in the specification before code is produced, keeping each subtask to roughly 5 to 10 main scenarios. Each scenario should include an expected result, and external dependencies should be tested against real cases rather than mocks. Coordinating with other teams through agreed APIs and webhooks helps catch errors quickly across services.

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Chrome's Prompt API now runs on-device AI without API keys or per-token billing

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

Home Product Photo Tips for Getting Clean AI Video Results

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