Launching today
AI writes your code at 10× speed. Prelint makes sure it's the right code - it reviews every PR against your ADRs, docs and past decisions, and catches product drift before it ships. On teams using several AI reviewers, ~40% of the issues fixed before merge are caught by Prelint.
Free Options
Launch Team / Built With
Technically correct code that builds the wrong product describes AI-assisted development pretty well. "Code became cheap" mantra doesn't mean we ship better products; it means the bar for what's worth building dropped. In practice this results in more of what users never asked for, faster.
You say "the agent can self-correct before a human ever looks" - what does that look in practice? Is it an automated loop, or does it require human involvement?
Prelint
Thanks, Mateusz!
We started inside pull requests mostly because it's the touchpoint that both agents and humans understand out of the box and we think it's a unit of change that is about to stay with us but - in all honesty - we see our job way beyond that. Prelint is turning into a "decision ledger" for companies where your agents still do get feedback on their code changes in pull requests but we now also provide a CLI that your agents can query to explore your company's ground truth.
The thing I'm missing with agentic coding is a view across agents. You know the feeling when you have six terminals open and jump between them to approve some decision. PRs are the obvious surface for your product, but a PR is diff-shaped and your product is decision-shaped. One decision may span multiple PRs.
A "decision ledger" that aggregates Prelint's findings across every open PR - approve, reject, or promote to spec, in one place - is the thing I'd actually keep open all day.
Looking forward to seeing where Prelint goes!
I like that Prelint checks against ADRs specifically. Most reviewers just look at the diff, not whether it fits the actual architecture.
Prelint
Thanks, Kimberly!
Yes Prelint is quite good at enforcing ADRs (we have some customers that use Prelint as their ground truth, some that use ADRs in their repos and some that have pretty complex MCP tooling around their ADRs).
We see ourselves more as a "decision ledger" than strictly a reviewer.
Setup was painless and it actually flagged a comment in our PR that contradicted a decision from a doc two months back, which surprised me. Curious how it holds up on bigger repos.
Prelint
Thanks for your vote of confidence, Malika! With bigger repos, it actually works even better because it has more context on historical decisions and design patterns.
We were using similar thing in my project but built in-house, that's actually super valuable
Prelint
Yes! I had someone ask why is it not a Claude Code skill last week, and the honest answer is - it is, for the first 10% of the job it works super well.
I love that companies now build parts of the tooling in-house, we actually advise some enterprise partners on it too. I think it's validation not competition 😊 I cheer for everyone struggling with the same problem and when it escalates we're always there to provide a best-in-class solution based on all of our experience.
Also - if your company is still looking at these kinds of processes - feel free to message or DM me, I'll happily advise on in-house processes too and share our agentic workflows and if Prelint can be of help at any future time - even better.
Few weeks in with Prelint and it's been a genuinely good experience.
Best part for me is that it notices when a change goes against what the docs already say, which means you deal with it early instead of in a painful review later. Solid tool.
Nice to finally see you on PH, good luck!
Prelint
Thanks, appreciate the support! Do let us know about the features you'd like to see going forward, I try to pay very close attention to how people use the tool.
I've watched AI-generated PRs balloon in volume while nobody's actually re-reading the original design docs. Tying review criteria back to ADRs feels like the missing piece most teams skip.
Prelint
Thanks, Grayson! That's if there are any original design docs at all! We have to prepare for a world where there's a lot of micro product decisions being made in Claude sessions, in conversations and on Slack. Very very little people sit down now and do a top-down design doc that they ask agents to implement. So we're building for a world where we need to catch these decisions where they happen and serve+structure them back.
QA engineer here, been using Prelint for a while. A lot of our PRs are AI-assisted now code compiles, tests pass, looks right, but whether it still matches what the team actually decided used to land entirely on me.
Prelint does that pass before I get there. It catches spec drift early, and the notes it leaves on the PR are genuinely useful input for my testing, I go in knowing which areas need attention instead of reading a diff cold.
Good luck with the launch!
Prelint
Thanks for your support Michał, feel free to reach out whenever there's a feature you feel is missing!