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.
AI agents ship code that passes every test - and quietly makes product decisions that break your product. @Prelint is the decision layer for AI-written software.
Tools like CodeRabbit check if your code is correct; Prelint checks if it does the right thing.
Live on Product Hunt today: worth a look and vote: https://www.producthunt.com/prod...
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Prelint hitting "product drift" specifically is such a sharp framing. Most AI code tools obsess over syntax or bugs, but the thing that actually scares me is the AI quietly building something slightly off from what the product was supposed to be
When I first started writing about product drift in February, I wasn't sure if it wasn't too niche. At the time we were one of the very few companies that had fleets of headless agents doing engineering. Now it seems to be picking up so maybe we got it right 😅
The exciting thing is that we built Prelint for ourselves - we had good technical code review tools but they detected if the code was technically correct, not if it was following our architecture decisions and design patterns. When I launched Prelint originally we were surprised how efficient it was at surfacing these small implicit decisions that coding agents make on your behalf.
Looking forward to hearing your feedback!
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The tagline makes me wonder about the source of truth Prelint uses to detect product drift in AI-written code. Is it checking against product specs, tickets, existing code patterns, design docs, or something else? That distinction feels important, especially for teams already using AI coding tools but not always keeping requirements perfectly structured.
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I've been using Prelint for a few weeks now, and it's been a great experience so far. Solid tool, cool to see you finally on PH. Good luck with the launch!
Thanks Daniel, do let us know if there are features you'd like to see next!
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How does Prelint differentiate between a real product decision issue and a technical choice that only looks risky from the outside?
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This is amazing, over the past years we were following coding architecture and patterns religiously and now AI generated code just done their job which is good but diverting from current architecture and design patterns, I think Prelint is the solution for this
Congratulations on your launch! quick minute question: couldn't someone give instructions to the AI coding agent to check specification document or product design document before shipping code?
Honestly, I think long term some code reviewers will get brutally commoditized by the frontier models, but we're building a decision ledger here.
I don't think programming velocity is the currency any longer - companies can buy infinite amounts of tokens and I noticed internally, we stopped doing any sprint planning. Code itself is cheap, but what we do instead is - I block time with my cofounder for taking specific decisions. Once that's done, the implementation part is easy. So it's the founder's decision making capacity that becomes the bottleneck now and you can't buy it - this is what we're solving for and optimizing.
Prelint hitting "product drift" specifically is such a sharp framing. Most AI code tools obsess over syntax or bugs, but the thing that actually scares me is the AI quietly building something slightly off from what the product was supposed to be
Prelint
Thanks Yibo!
When I first started writing about product drift in February, I wasn't sure if it wasn't too niche. At the time we were one of the very few companies that had fleets of headless agents doing engineering. Now it seems to be picking up so maybe we got it right 😅
The exciting thing is that we built Prelint for ourselves - we had good technical code review tools but they detected if the code was technically correct, not if it was following our architecture decisions and design patterns. When I launched Prelint originally we were surprised how efficient it was at surfacing these small implicit decisions that coding agents make on your behalf.
Looking forward to hearing your feedback!
The tagline makes me wonder about the source of truth Prelint uses to detect product drift in AI-written code. Is it checking against product specs, tickets, existing code patterns, design docs, or something else? That distinction feels important, especially for teams already using AI coding tools but not always keeping requirements perfectly structured.
I've been using Prelint for a few weeks now, and it's been a great experience so far. Solid tool, cool to see you finally on PH. Good luck with the launch!
Prelint
Thanks Daniel, do let us know if there are features you'd like to see next!
This is amazing, over the past years we were following coding architecture and patterns religiously and now AI generated code just done their job which is good but diverting from current architecture and design patterns, I think Prelint is the solution for this
Prelint
Thanks Abdur, it is and you should try it :)
Congratulations on your launch! quick minute question: couldn't someone give instructions to the AI coding agent to check specification document or product design document before shipping code?
Cloudback
The code reviews are the real bottleneck now, good to see a product that tries to deal with it!
Prelint
Thanks, Evgeniy!
Honestly, I think long term some code reviewers will get brutally commoditized by the frontier models, but we're building a decision ledger here.
I don't think programming velocity is the currency any longer - companies can buy infinite amounts of tokens and I noticed internally, we stopped doing any sprint planning. Code itself is cheap, but what we do instead is - I block time with my cofounder for taking specific decisions. Once that's done, the implementation part is easy. So it's the founder's decision making capacity that becomes the bottleneck now and you can't buy it - this is what we're solving for and optimizing.