Prelint Launched on Product Hunt Selling a New DevTools Category: Catching Product Drift in AI-Written Code
Prelint launched July 29 with the pitch 'prevent product drift in AI-written code', checking every pull request against structured product specs compiled into a product knowledge graph rather than against lint rules or style guides. Its published AI Code Pulse research, graded across 56,706 PRs from 331 open-source repos, found Claude/Anthropic tooling in 81% of repos, Cursor in 40%, Copilot in 22% and CodeRabbit in 9%, with 46% of repos configuring multiple AI vendors rather than one. The most useful number for builders is the docs effect: reviews run with documentation hit 80.8% precision, surfacing 979 additional real issues while preventing 232 false alarms versus blind review. Note the research dataset carries a February 2026 update stamp; the launch is what is new today.
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