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RuleMesh
Regulation your AI coding agent can actually implement
Your AI coding agent reads regulations via MCP and checks your codebase locally - your source code never leaves your machine. Each rule traces from the article to the control, config, and the evidence an auditor requests. GDPR now, AI Act next. Free to start. Ready for engineers and AI agents.
Top comment
Hi everyone, over the past year and a half, we've been diligently working to bring you regulatory data you can trust. GDPR was the proving ground for our methods and controls mapping techniques, and now we are ready to share RuleMesh with you. For most teams, regulation is an afterthought: a policy PDF or a 200-question survey, never something engineers can build against. So we built the opposite: a machine-readable model of the law that your AI coding agent reads over MCP, then checks your codebase locally (your source never leaves your machine) and turns it into an evidence signals report. We started with GDPR; the AI Act is next. The scan is free; ongoing tracking in Jira is the paid layer, where a human confirms every signal, so compliance teams and audit work from the same source as the engineers. Would love blunt feedback: what would make this genuinely useful in your stack?
About RuleMesh on Product Hunt
“Regulation your AI coding agent can actually implement”
RuleMesh was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #102 on the daily leaderboard. Your AI coding agent reads regulations via MCP and checks your codebase locally - your source code never leaves your machine. Each rule traces from the article to the control, config, and the evidence an auditor requests. GDPR now, AI Act next. Free to start. Ready for engineers and AI agents.
On the analytics side, RuleMesh competes within SaaS, Privacy and Legal — topics that collectively have 60.4k followers on Product Hunt. The dashboard above tracks how RuleMesh performed against the three products that launched closest to it on the same day.
Who hunted RuleMesh?
RuleMesh was hunted by Lawrence N. 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 RuleMesh including community comment highlights and product details, visit the product overview.