AI agents can write code, but shipping that code safely is still a human decision. Verdikt brings together signals from tests, evaluations, performance, and production to certify every AI-generated change before it reaches users. Instead of another testing tool, Verdikt creates an auditable release verdict, enforces deployment policies, and learns from production outcomes so teams can confidently scale autonomous software development.

Hi Product Hunt! 👋 I'm Joseph, founder of Verdikt. As AI agents become capable of writing and shipping software, one question keeps coming up: How do you know when it's safe to trust them? Today's release is our answer. Verdikt isn't another testing framework or code reviewer. It sits above your existing tools, combining signals from tests, evaluations, performance, and production into a single, auditable release verdict. Every decision is backed by evidence, can be enforced in CI/CD, and improves over time through production feedback. I'm building this for teams moving towards autonomous software development, where humans shouldn't need to inspect every change, but should always be able to understand why a release was approved or blocked. I'd love to hear: How are you validating AI-generated code today? What gives you confidence (or stops you trusting) AI agents in production? Thanks for checking out Verdikt. Look forward to your feedback and questions!

Tested Verdikt on a few AI-generated PRs and the verdict view was genuinely useful, catching a flaky eval I would have missed before deploy.

Verdikt

The trust layer for AI agents shipping to production

The trust layer for AI agents shipping to production