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AgentLint
Stop AI hallucinations by fixing your repo in one command.
I analyzed 200+ versions of Claude Code updates and context optimization papers to build AgentLint. It runs 33 data-backed checks to ensure your codebase is "AI-Ready"—slashing hallucinations and boosting agent reasoning by optimizing repo structure.
Hey PH! 👋
I’m the maker of AgentLint.
I’ve been obsessed with how AI agents "read" our code. I noticed that even the best models like Claude 3.5 or GPT-4 fail when the repo structure is noisy or lacks clear context.
To find the "perfect repo" formula, I went down a deep rabbit hole:
I meticulously analyzed over 200 versions of Claude Code updates to see how its internal prompting and context-gathering rules evolved.
I cross-referenced this with the latest research papers on Long-Context window efficiency.
The result is AgentLint. Instead of manual cleanup, it automates 33 specific checks to ensure your repo is primed for AI reasoning. No more "I don't have enough context" or weird hallucinations because of a messy file tree.
It's a tool I built to save my own "vibe coding" sessions, and I hope it helps you too! Would love to hear your feedback. 🚀
About AgentLint on Product Hunt
“Stop AI hallucinations by fixing your repo in one command.”
AgentLint was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #155 on the daily leaderboard. I analyzed 200+ versions of Claude Code updates and context optimization papers to build AgentLint. It runs 33 data-backed checks to ensure your codebase is "AI-Ready"—slashing hallucinations and boosting agent reasoning by optimizing repo structure.
On the analytics side, AgentLint competes within Developer Tools, GitHub and Vibe coding — topics that collectively have 552.6k followers on Product Hunt. The dashboard above tracks how AgentLint performed against the three products that launched closest to it on the same day.
Who hunted AgentLint?
AgentLint was hunted by Mario Wu. 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.
For a complete overview of AgentLint including community comment highlights and product details, visit the product overview.
Mario Wu