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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
policyctl
Provider-agnostic policy runtime for coding agents
PolicyCtl is a provider-agnostic policy runtime for AI coding agents. It enforces rules deterministically before actions execute, instead of relying on prompt instructions. One `.policyctl.yml` policy works across Claude Code, Cursor, OpenAI Codex, and CI, with sub-12ms local evaluation, pre-execution blocking, secret detection, policy-file protection, and native hook generation.
AI coding agents can write, delete, and execute code faster than you can review every action.
That is exactly why I built PolicyCtl.
PolicyCtl is a deterministic policy runtime that sits between your coding agent and your codebase, enforcing hard rules before actions execute. Define your policies once in `.policyctl.yml` and enforce them across Claude Code, Cursor, Codex, and CI.
Block secrets. Protect critical files. Restrict dangerous commands. Require tests. Let agents move quickly within boundaries you control.
Built for the point where AI agents stop being autocomplete and start becoming autonomous engineers.
What should your coding agent never be allowed to do?
About policyctl on Product Hunt
“Provider-agnostic policy runtime for coding agents”
policyctl was submitted on Product Hunt and earned 2 upvotes and 2 comments, placing #122 on the daily leaderboard. PolicyCtl is a provider-agnostic policy runtime for AI coding agents. It enforces rules deterministically before actions execute, instead of relying on prompt instructions. One `.policyctl.yml` policy works across Claude Code, Cursor, OpenAI Codex, and CI, with sub-12ms local evaluation, pre-execution blocking, secret detection, policy-file protection, and native hook generation.
On the analytics side, policyctl competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how policyctl performed against the three products that launched closest to it on the same day.
Who hunted policyctl?
policyctl was hunted by Roshan Ravani Singh. 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 policyctl including community comment highlights and product details, visit the product overview.
Roshan Ravani Singh