Guardian IDE

This is becoming more and more necessary. We use AI coding agents daily and the amount of code that gets generated without proper review is honestly scary. Can you define custom policies, like "never ship code that touches auth without a manual approval" or is it more of a general quality check?

Do you also analyze prompt context and generation metadata etc or only the final code diff?

We built Guardian because AI coding tools make teams faster, but they also make it easier to ship insecure, low-signal, or poorly reviewed changes. Most small teams do not have the time or process overhead for enterprise-style release controls, so we wanted a simpler approach: local-first code review, policy-based release gating, human approval for risky changes, and a desktop app that fits into an actual engineering workflow.

While building this launch, the product evolved from “AI critique for code changes” into a fuller release control system. The biggest shift was treating AI output as something that needs governance, not just generation. That led us to add approval tracking, audit compatibility, updater signing, cross-platform desktop releases, and a workflow that keeps humans in control at the final release step.

If you want, I can also give you:

A shorter, sharper Product Hunt version
A more founder-style first comment
A more technical first comment for engineers