2
1 Comment

I Think There's a Product in This: Triage for AI-Generated Code

I've been using AI coding tools more heavily lately — Copilot, Cursor, sometimes Claude directly. The velocity is real. Features that used to take days are done in hours.

But there's something that's been bothering me: I'm generating code faster than I can review it. If AI writes your code, you end up shipping PRs faster than your review capacity. The manual review bottleneck becomes obvious — you're either rubber-stamping everything or slowing down to actually look at it.

I think there's a product in this.

The idea is a lightweight layer that sits in your GitHub PR workflow and auto risk-scores AI-generated changes. It flags which hunks need human attention (security-sensitive paths, complex logic, untested branches) and which are safe to auto-approve. The target user is clear: individual developers and small teams using AI code generation who are bottlenecked on review.

The advantage is specificity. Not "saves time" — it tells you exactly which diffs need eyes and which don't.

Go-to-market would start in the communities already experiencing this friction — Cursor Discord, GitHub Copilot forums, AI coding subreddits. Free tier with 50 PR analyses/month, then $15-29 per seat for unlimited.

I'm still deciding if the technical challenge of reliable triage is worth the effort. What do you think — is this a real pain point, or am I overthinking it?

on July 7, 2026
  1. 1

    The review bottleneck is real, teams feel it daily. Sharpest segment: solo devs on Cursor/Copilot shipping fast. Test it by posting risk-scoring in those Discord/subreddit threads and count who says "need this now." I run this signal-to-build loop for PainBase, happy to compare notes.