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. 🚀
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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.
AgentLint was featured in Developer Tools (511k followers), GitHub (41.2k followers) and Vibe coding (397 followers) on Product Hunt. Together, these topics include over 85.7k products, making this a competitive space to launch in.
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.
Want to see how AgentLint stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Mario Wu