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KDD

Govern AI agents with deterministic gates. No LLM judging.

Open Source
Artificial Intelligence
GitHub
Development
Visit WebsiteSee on Product HuntGithub

Hunted byMauricio “Rockerfeler” PereraMauricio “Rockerfeler” Perera

KDD is a template repo + method to govern AI coding agents. Write a contract, seal its tests by SHA256, and let 12 deterministic gates (pure Python stdlib, no LLM, no network) verify — so the agent that implements never judges "done."

Top comment

Hey PH — I'm Mauricio, the maker. I built KDD because the part of AI-assisted coding I trust least is the "done, tests pass" moment: the verification is as non-deterministic as the agent. A human reviews the diff, or the same model that wrote the code also grades it. Both can be fooled. What's different: the agent that implements is never the one that decides "this is good." You author the tests before delegating and seal their SHA256 into the contract. If the implementer rewrites a test to make it pass, the hash mismatches and a deterministic gate catches it — no LLM judgment involved. The whole verification path is 12 gates in pure Python stdlib, no network, no LLM, exposed as an MCP server with 14 tools and as reusable GitHub Actions. The feedback I'd most like: does the frozen-test model actually hold once the tests themselves need to evolve? And is the upfront cost of writing a contract before each task worth it for your team, or only for the risky ones? Happy to go deep in the comments.

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About KDD on Product Hunt

Govern AI agents with deterministic gates. No LLM judging.

KDD was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #8 on the daily leaderboard. KDD is a template repo + method to govern AI coding agents. Write a contract, seal its tests by SHA256, and let 12 deterministic gates (pure Python stdlib, no LLM, no network) verify — so the agent that implements never judges "done."

KDD was featured in Open Source (68.6k followers), Artificial Intelligence (473.8k followers), GitHub (41.3k followers) and Development (6k followers) on Product Hunt. Together, these topics include over 149.1k products, making this a competitive space to launch in.

Who hunted KDD?

KDD was hunted by Mauricio “Rockerfeler” Perera. 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.

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