Manual Test Cases Are the Baseline AI Agents Need
When the same process generates both implementation and its tests, a green pipeline only proves code and tests agree, not that the behavior is correct. The article argues for manual test cases as an independent behavioral baseline in agentic development. Written in Markdown or Gherkin, they capture business scenarios, preconditions, expected outcomes, and boundary conditions without depending on test framework internals. The proposed workflow splits responsibilities: a development agent implements, a dedicated automation agent turns approved cases into E2E checks, and a requirement-review agent blocks any test change not backed by an approved requirement. This helps avoid an implement-fail-fix-regression loop and keeps intent intact through rewrites and framework migrations. Useful for QA engineers, engineering managers, and anyone building agent-driven delivery pipelines. Note: the piece is published by Testomat.io, a test management vendor, and closes with a product pitch.