This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
PRAXIS is a runtime control plane for AI coding agents. It intercepts tool calls before execution, classifies risk, enforces policies, and lets developers approve, block, or audit AI actions across their development workflow.
👋 Hi Product Hunt!
AI coding agents are becoming increasingly autonomous. They can edit code, execute terminal commands, access files, and interact with external tools. While that unlocks incredible productivity, it also introduces a new challenge: trust.
I built PRAXIS to be the runtime guardrail between an AI agent and execution.
Instead of blindly allowing every action, PRAXIS evaluates each request in real time and decides whether to allow it, warn the user, require approval, or block it entirely. Every decision is recorded with a complete audit trail so developers know exactly what happened and why.
Current capabilities include:
• Runtime interception of AI tool calls
• Risk classification
• Policy-based approvals and blocking
• Human-in-the-loop verification
• Audit logging for every action
This is just the beginning. The vision is to build a universal runtime safety layer that works across AI coding agents and developer tools.
I'd love your feedback.
• What AI coding tool do you use most?
• What's the riskiest AI action you've seen?
• What guardrails would make you trust AI agents more?
Thanks for checking out PRAXIS!
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About PRAXIS on Product Hunt
“Stop risky AI actions before they execute”
PRAXIS was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #146 on the daily leaderboard. PRAXIS is a runtime control plane for AI coding agents. It intercepts tool calls before execution, classifies risk, enforces policies, and lets developers approve, block, or audit AI actions across their development workflow.
PRAXIS was featured in Developer Tools (517.5k followers), Artificial Intelligence (475.9k followers), GitHub (41.4k followers) and Tech (629.9k followers) on Product Hunt. Together, these topics include over 386.4k products, making this a competitive space to launch in.
Who hunted PRAXIS?
PRAXIS was hunted by Vaishak V Nair. 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 PRAXIS stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Vaishak V Nair