I built the same MVP twice. The autonomous agent wrote 4.6x more tests — none caught two stubbed core methods.
📰 Dev.to AI
Building the same MVP twice reveals autonomous agents can write more tests, but may miss critical issues like stubbed core methods
Action Steps
- Build an MVP using an autonomous agent like Claude Code or Codex to generate tests
- Compare the number of tests generated by the agent with manual testing
- Identify and analyze the types of tests that the agent is generating
- Review the agent-generated tests to catch potential issues like stubbed core methods
- Refine the testing strategy to combine the strengths of autonomous agents and human testers
Who Needs to Know This
Developers and QA engineers can benefit from understanding the strengths and limitations of autonomous agents in testing, to improve their overall testing strategy
Key Insight
💡 Autonomous agents can greatly increase test coverage, but human review is still necessary to catch subtle issues
Share This
🤖 Autonomous agents can write 4.6x more tests, but may miss critical issues! 🚨
DeepCamp AI