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  • Yey! Let's speedup project downfall to crap abyss even more!

    You either care about project and do reviews. Or yolo vibe code. This middle ground has little sense.

  • Nice idea. This could make large agent-generated PRs much easier to review.
  • Jev has good use cases that require speed. But speed is not all. Tasks like code review need quality, which costs time. If you just want speed, you might as well go with a non-reasoning model like Haiku.
  • You still review code?

    Maybe improve your development process, learn how to use AI better so you don't have to.

    Maybe only if you are writing OS or some very specific kind of software you have to do this.

    For all the other kinds of software, you likely don't need to.

  • It would be actually nice to build a simple classifier that marks noise from PRs (stuff like formatting changes for example)

    For the rest, I wouldn't trust an AI to pick what's important.

    We can already do AI reviews, and while helpful, we know we can't trust them too much

  • Most PRs that are generated by agents today get YOLO merged because its hard for human mind to comprehend when your agent just suddenly shows up with 230 file changes. This is an attempt to reduce the mental burden by classifying each change in a review to P0, P1, P2. Only P0 are shown by default. The priorities are configurable. The diffs are also show using a natural language. The original code is one toggle away.
  • I don't understand Jev. Its a generic classifier right? Like the classifiers we were building 15 years ago with random forrests and logistic regressions, but just generic. What's so revolutionary? And how can the accuracy be any better than a custom trained classifier that can be built in a day (an hour using Claude).

    I don't understand the hype.

  • I think your engineering process is fundamentally broken if you are generating PRs with 230 files changed so regularly that you need to bolt on more AI. You’re solving the wrong problem.
    by lm2s

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