Wispbit - Linter for AI coding agents
Hey HN! Ilya and Nikita here. We're building wispbit (https://wispbit.com) - a tool that helps keep codebase standards alive. With the help of AI coding tools, engineers are writing more code than ever. Code output has increased, but the tooling to manage this hasn't improved. Background agents still write bad code, and your IDE still writes slop without the right context. So we built wispbit. It works by scanning your codebase for patterns you already use, and coming up with rules. Rules are kept up to date as standards change, and you can edit rules any time. You can enforce…
Wispbit - Linter for AI coding agents launched on October 14, 2025 with 31 votes, #480 of 8,178 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Wispbit is a linter that helps teams maintain code standards as AI coding agents generate more output. It scans existing codebases to automatically discover patterns and create rules, which stay synchronized as standards evolve. Users can edit rules anytime and enforce them during code review or locally via CLI. The tool is designed for engineering teams using AI coding tools who want consistent code quality without manual enforcement overhead.
written from the facts on this page · September 2026
From the sources
Help AI-first engineering teams keep codebase standards alive.
Catch bugs before you commit
Ship quality code faster with AI that verifies every line, before you commit it. Catch bugs and errors from libraries or languages you use. Supports 15+ languages and 5,000+ documentation sources. Add path traversal validation to prevent security vulnerabilities when resolving file paths from user input. Avoid downtime and errors your team ran into. Ramp up faster in unfamiliar territory. Captured from past PR comments and discussions. Fetch related data using eager loading with include/join instead of looping and making individual queries. Making N separate queries in a loop creates N+1 database roundtrips, causing severe performance degradation under load. Update to AI SDK 6: Replace…from wispbit.com
In the maker’s words, at launch
Hey HN! Ilya and Nikita here. We're building wispbit (https://wispbit.com) - a tool that helps keep codebase standards alive. With the help of AI coding tools, engineers are writing more code than ever. Code output has increased, but the tooling to manage this hasn't improved. Background agents still write…
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GitHub2025 · github.com · ▲7Hey HN! Ilya and Nikita here. We're working on wispbit - the open source AI code review agent for teams - https://github.com/wispbit-ai/wispbit. We made wispbit because we previously struggled in big codebases and teams that grew quickly. Keeping codebase standards alive was frustrating, and investing in static internal tooling was too hard. We would sit in post-mortem meetings and expect engineers to remember every single booby trap. wispbit fixes this by enforcing your codebase rules, and raises a violation if a rule is broken. It also runs anywhere (Github actions,…
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Hey HN - We're building wispbit (https://wispbit.com/) - a tool that lets you build your own AI code reviewer. We built this because we worked in big and complex codebases where we kept hitting booby traps - often the same ones. People forgot things, or quit altogether, amplifying the problem. We looked for other ways to fix this, but the solution is usually a combination of: - Writing a linter rule - too difficult and time consuming. - Writing docs and having frequent meetings on alignment - basically a full time job. - Using plug and play code reviewers - too generic and…
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