That's not really my point... my point is that it's an unsettled debate between speed and caution, and devs are not unanimous on it, unlike the claim of the original post that seemed to think everyone was reporting the same gains.

The divide with developers at the moment seems to be about people who believe in review & are being cautious (who are not seeing major time gains according to all reports I have seen), and those who trust it to be able to fix things forever and will no longer have to worry about understanding the code, so are happy to atrophy those skills.

Yes, my code will have mistakes, and I'll use LLMs for some tasks. I also review and have a mental model, which means I can easily fix them, no matter what happens in future with AI. Reviewing also means I'm seeing the limitations and common mistakes of LLMs.

A no-review approach will be far faster than this, obviously, but if scbench.ai is still true on the frontier models, it may come back to bite people when they have no idea how it works and the context becomes too big to maintain.