CodeSolar

What it does

CodeSolar reviews every pull request in your GitHub repos — no CI, no runners, no YAML. Findings land as inline comments on the exact line, with a one-click suggested fix. Every line number is re-verified against the diff, so a finding with no evidence is dropped instead of posted. Push again and it doesn't start over: follow-ups read only the new commits and report what you fixed. Reply to a finding and it learns that rule for your repo — visible in settings, one click to undo.

Upstage Solar-Pro4 reviews your GitHub pull requests automatically. Connect a repository and the next PR gets reviewed.

Connect a repository and CodeSolar reviews every pull request from then on. Bugs, security, and performance issues land on the exact line — with a fix you can apply when it's confident. Adds exponential backoff to payment retries. The retry loop does not reuse the idempotency key, risking double charges. randomUUID() is inside the loop, so retries look like distinct requests to the payment gateway. If the first request timed out but actually succeeded, the customer is charged twice. Generate the key once, outside the loop. Zero config to start, no CI changes. Add an optional .codesolar.yml when you need it. One OAuth sign-in and every repository you can reach shows up. From then on every PR…from codesolar.dev

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  Hi HN, I'm the author of git-lrc, would appreciate some feedback from the community Last year my team started using AI coding tools more heavily, and we found ourselves generating tons of code, but spending less time looking at the stuff that's been generated. We felt like we were losing a bit of grip/understanding of what we were building. Regressions occasionally slipped through. Sometimes changes made it all the way to production only to be reverted later. We tried several AI code review tools, but most operate at PR time. That felt too late. I wanted review to happen while the…

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  GitReviewed2025 · gitreviewed.com · ▲18

  Hi HN, I’m Valentin, a developer who’s found code reviews to be a slow process, especially after context switching or juggling different projects and languages. Even reviewing my own code can be tough when I’ve lost the thread or just need a fresh perspective. Over the past few weekends, I built GitReviewed to make PR reviews faster, smarter, and genuinely useful for real teams. What it does: - Reviews any GitHub or GitLab pull/merge request with AI-powered comments, spotting security issues, code patterns, typos, and more - Posts comments as you (not a bot), so feedback fits naturally…

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• IB
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  I've been using Claude Code heavily, and kept hitting the same issue: the agent would push changes, respond to reviews, wait for CI... but never really know when it was done. It would poll CI in loops. Miss actionable comments buried among 15 CodeRabbit suggestions. Or declare victory while threads were still unresolved. The core problem: no deterministic way for an agent to know a PR is ready to merge. So I built gtg (Good To Go). One command, one answer: $ gtg 123 OK PR #123: READY CI: success (5/5 passed) Threads: 3/3 resolved It aggregates CI status, classifies review comments…

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