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Engineering

Which AI agents write tests?

Agents that write unit, integration and end-to-end tests, raise coverage and fix flaky suites.

14 published use cases

AI agent use cases that generate and maintain automated tests

Coding · Advanced
  1. Run coverage
  2. Pick 3 riskiest files
  3. Write + run tests

Generate missing unit tests for untested modules

Claude Code reads your coverage report, picks the riskiest untested modules and writes unit tests that pass, one small PR at a time.

Claude Code · GitHub Copilot · Slack

Questions about AI agents that generate and maintain automated tests

Are AI-generated tests reliable?

They are a fast way to raise coverage, but check that each test asserts real behaviour rather than mirroring the current code. Run them in CI and review failures the same way you would for tests a teammate wrote.

Which tools do AI agents use to generate and maintain automated tests?

Across the 14 published workflows on this page, the most used tools are Claude Code (5), Codex (2) and Grok Bot (2). Each use case lists every tool it needs and the role it plays.

How do I set up one of these workflows?

Open any use case to see the tools, the step-by-step setup and example prompts you can copy. Start with a beginner workflow, run it on a small batch and review the output before you automate it fully.