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I think it's easier to review test cases as they tend to have less code, less complex logic, and less interaction with other code.



Yes of course. But wrt trust, it's vital for the specification! If the tests are good enough, the implementation is an implementation detail!


Well my point was that if you're starting off by writing tests, AI assistance is low-risk: the test code should be simple and concise enough to review very quickly. So you're not blindly trusting.

Tests also tend to have a repetitive and clearly defined structure, an environment that AI thrives in.

(Also, devs usually find writing tests boring, while AI never gets bored.)

And once your tests are in place, if desired you can then get AI to write the actual code too.




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