never_better

In my experience that's what's separated the different AI code review tools on the market right now.

Some are tuned far better than others on signal/noise ratio.

That's the "outer loop" problem. So many companies are focused on the "inner loop" right now: code generation. But the other side is the whole test, review, merge aspect. Now that we have this increase in (sometimes mediocre) AI-generated code, how do we ensure that it's:

* Good quality * Safe