Show HN: Open-source guided code reviews | Hacker News Reader

Show HN: Open-source guided code reviews

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4 pointsramoz3 comments

https://xcancel.com/plannotator/status/2073845811847512372?s...

https://github.com/backnotprop/plannotator

Plannotator Code Review works for any local or PR changes, jj, and p4. You can conduct a code review on your own or integrate it with your agents and submit feedbacks to create an automated iteration loop.

Guided reviews works just like linear, except it also summarizes all file changes for you. The most important code changes are surfaced to the top, provided with a semantic overview & grouped diffs. It does not need to rely on advanced model intelligence or high reasoning efforts. Open source models work great at this task! Providers enabled include Claude Code, Codex, OpenCode, Pi, Cursor, and Copilot.

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I still don't like the fact that AI is adding more stuff for us to read, it's accelerating the code production but slowing down the code review. I built my own code reviewer as well (https://pyor.review/), surfacing the important stuff first is the right track, but adding more stuff to read is daunting, but asking AI to just point you to what you need to focus on and skim the noise is what I'm leaning more towards.

I don't think your sprinkled AI hints help your pitch if they immediately show injected into the diff.

Also, I think the guided review presents the opportunity to skim the code versus read the full diff - as semantic overview of multiple files/diffs, as well as file change description, give you the opportunity to green light anything you don't really need to read into, or give you enough context that you should dive in. i.e. https://x.com/thdxr/status/2073238046296924466?s=20

Thanks for the review, that's really good feedback. as we slowly read the code less and less, it only makes sense for AI to help us skim it more, until it becomes good enough for us to not read the code at all. still, on the other hand, do you think AI can tell you what a 5 word long function does in 5 words? probably not, so reading the code itself will stay faster than reading the summary, AI can only help alerting you on what it thinks is a potential bug, or same code moving around.

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