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They do catch important things but it’s really contextual. You can’t grab a model slap it on top and say code review . Hence a dedicated review tool is almost dead . Code review should be part of your pipeline and consume test results from the original task , open spec etc . If you do not have that code review will not help if you do , what is the point of task rabbit just slap <your harness in the sandbox> review against <goal>

Yeah I personally don’t understand the point of AI code review tools all that much, as AI is already generating the code as well. All of these AI code review tools create so much noise, yet don’t catch the really important things.

It does add lot of noise after a point you start ignoring the suggestions and findings.

Code generated these days with fable and sol are near perfect. What issues they might have is logical errors.

That likely won’t change if other competitors don’t take the lead at some point. If companies are willing to pay top dollar for the best models AND they get to extract as much money from Chinese labs distilling Astra/Fable it makes no sense to lower prices. Obviously not great for everyday users who don’t have unlimited money.

That should be expected based on the scaling laws that we expect; larger models are more intelligent and cost more. Now it's very unfortunately that they don't publish the size of their models.

Astra and Sol are the same price when you factor in token efficiency

Roughly how we price (high skilled) human labor.

Interesting comment because it is true that Astra is costlier for the same intelligence tasks as Sol.

But this is not the same for Fable at all.

It's a bigger model, of course it's slower.