Top AI Product

As AI writes more of the code, the bottleneck has moved to review: teams are merging changes that neither the author nor the reviewer fully understands. Stage, a Y Combinator-backed code review platform, is built for exactly that problem.

## What Stage does

Instead of making a reviewer reconstruct intent from a wall of unorganized diffs, Stage breaks a change down into structured chapters. The pull request is reorganized into a narrative a human can actually follow — what changed, in what order, and why — so reviewers can understand the work before approving it. The goal is to let fast-moving teams keep shipping AI-generated code without rubber-stamping it.

## Why it matters now

The review step is still tied to the same human capacity it had years ago, even as the volume of code entering the pipeline has exploded. That gap shows up as production bugs and mounting cognitive debt when more lands than reviewers can validate with confidence. Stage targets that deficit directly, treating comprehension — not just diff-checking — as the job. Founded by Charles Pan and Dean Stratakos, it is aimed at engineering teams whose code generation has outrun their ability to review it.