Test-first AI development is presented as a workflow where AI agents write tests before implementation, creating a reliable feedback loop. The approach involves having the agent define test cases first, reviewing and refining them, then letting the agent iterate on implementation until all tests pass. Tests serve as executable
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📋 What You'll LearnWhy AI Agents Need TestsThe Test-First Agent WorkflowAgents Love Tests (and You Should Too)Test Coverage = TrustA Glimpse at the FutureFinal ThoughtsSort: