Feedback wanted: AI that shows what’s really shipping into prod

Hey Product Hunt community 👋

I’m building something to solve a problem I keep running into as an engineer, and I’d love your feedback.

The problem:
AI tools like Copilot and Cursor are writing more of our code now.
PRs move faster. Reviews get shorter.
And honestly, it’s hard to tell:

• how much of that code is AI-assisted

• whether reviews are actually catching issues

• or which PRs are risky before they hit production

Output is visible. Review quality isn’t.

What I built:
Cleq — a tool that connects to GitHub and tries to make this visible.

• 🤖 Detects AI-assisted code in PRs

• ⚠️ Flags PRs that look risky before merge

• 🛡️ Guardian Board — highlights reviewers who consistently catch issues (not just approve fast)

• 📊 PR Quality Board — shows which PRs are well-reviewed vs high-risk

Instead of ranking people by output, the goal is to surface who’s protecting the codebase and where quality is quietly slipping.

Where I’m at:
Early beta — onboarding a few teams and learning what’s signal vs noise.

My questions for you:

• Does this feel like a real problem for your team?

• What would you want this to show you that it doesn’t yet?

• What would make you not trust a tool like this?

🔗 https://cleq.ai

Thanks for any feedback - I’m building this based on what real teams need 🙏