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grokys an hour ago

1. Whether the thing should be done in the first place

2. If it's the correct solution on a high level

3. Whether it conflicts with or duplicates other parts of the system

4. Whether the comments are actually useful or restating the LLM chat

Also many others but these are the most common IME

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9dev an hour ago | parent [-]

All of these are angles an AI reviewer can test for as well, and will (IME) mostly catch mistakes correctly. I also still manually review code, and usually also catch issues, but the severity of what I find shrinks ever further as agents get better.

The sprawling code comments are becoming the most draining part of code review though, that's really killing me from the inside.

	▲	Paria_Stark 43 minutes ago \| parent [-]
		The AI review are still quite far from having the same level of critical thinking and high level knowledge of your application, what you have done in the past and want to do next etc. If you don't master this for your own project, what's even the point of your job.