I think it's the opposite, with the right guideance, testing, frameworks, and using the top models today, implementing something with AI is most of the times better than what most developers would do.
I basically only manually test e2e myself, other tests are automated, code review is automated. I can tell the model to test for me too specific things or to add tests for specific potential issues, performance benchmarks, compared different implementations, etc.
The focus is a lot more around the code than on the code.
I basically only manually test e2e myself, other tests are automated, code review is automated. I can tell the model to test for me too specific things or to add tests for specific potential issues, performance benchmarks, compared different implementations, etc.
The focus is a lot more around the code than on the code.