This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
CodeSolar
AI code review for GitHub that never nags you twice
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.
Hey Product Hunt 👋
I built CodeSolar after watching a team quietly switch off yet another AI reviewer. The pattern is always the same — exciting for a week, then muted. Not because AI can't read code, but because of three specific failures:
1. Comments on the wrong line. The most common way LLM review breaks. We render real line numbers into the diff we hand the model, then re-verify every number it returns. If a finding's evidence lines aren't in the diff at all, we drop it instead of posting it. A finding the model marks "probable" can't wear a red label.
2. It re-reviews the same code forever. Push a commit, get the same three comments back. CodeSolar carries the previous review forward: follow-ups read only the new commits and report what you fixed ("2 of 3 resolved"). Dedupe isn't left to the prompt — near-identical findings are filtered before posting, even after lines shift.
3. It doesn't know your team's rules. When someone with write access replies "this empty catch is intentional," that reply becomes one lesson applied to later reviews of that repo. Every lesson is visible in settings with a link to the original thread, and one click switches it off. Lessons can only change what gets looked at — never the review rules themselves. That's a prompt-injection surface and we treat it like one.
Powered by Upstage Solar-Pro4. Reviews in English · 한국어 · 日本語, it reads your AGENTS.md or CLAUDE.md so it knows your conventions, and setup is: sign in with GitHub, pick repos. No CI to wire, no runners, no YAML.
Free during beta. I'd genuinely love to hear where it gets things wrong — that's the feedback I'm here for. 🔆
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About CodeSolar on Product Hunt
“AI code review for GitHub that never nags you twice”
CodeSolar was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #160 on the daily leaderboard. 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.
CodeSolar was featured in Developer Tools (519k followers), Artificial Intelligence (478.1k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 231k products, making this a competitive space to launch in.
Who hunted CodeSolar?
CodeSolar was hunted by Sung Kim. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how CodeSolar stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Sung Kim