The archive · Developer & Business Tools · Product decision · 2026
Stage's bet: turn AI-era GitHub PRs into readable chapters for human review
YC Spring 2026 startup that breaks pull requests into guided 'chapters' so engineers review AI-written code; its Show HN drew 130 points and 111 comments.
Stage
What the business is
Stage is a code-review platform that turns GitHub pull requests into ordered, AI-summarized chapters — what changed and what to double-check — with comments and approvals synced back to GitHub; free for open-source repositories, US$30 per user per month for private teams.
How it started
Charles and Dean met in their first Stanford class, worked at the same quantitative trading firm after graduating and were roommates in New York before joining YC. At their jobs they watched coding agents swell PR backlogs and make diffs harder to understand, so in 2026 they started Stage to rebuild review around how engineers actually read code.
What happened
They joined Y Combinator's Spring 2026 batch with partner Pete Koomen and launched with a Show HN post on 2026-04-16 titled 'Putting humans back in control of code review', drawing 130 points and 111 comments. Reviewers in the thread pushed for features like regenerating chapters on every commit and a CHAPTERS.md control file; Stage later published a YC Launch post and introduced a US$30-per-user monthly plan for private repositories.
How it ended up
As of 2026-09-06 Stage is live in San Francisco with a two-person team: the site advertises AI chapter summaries, a Stagent review assistant that cites the exact files and lines behind its answers, and two-way GitHub sync, plus a running counter of 56,966 pull requests reviewed. Y Combinator's company page lists engineers at Legora, n8n and Branch among its users.
Background
Stage is a code-review platform for GitHub pull requests, founded in 2026 by Charles and Dean, two Stanford classmates who worked at the same quantitative trading firm before joining Y Combinator's Spring 2026 batch. Its product breaks each PR into ordered, AI-summarized 'chapters' that tell the reviewer what changed and what to double-check, syncing comments and approvals back to GitHub.
The founding observation was that AI coding agents made the review step the bottleneck: PRs got larger and harder to understand, teams rubber-stamped changes they didn't fully grasp, and GitHub's review UI had barely changed in a decade. The founders deliberately chose not to build another code-review bot, arguing bots catch surface-level bugs but leave humans responsible for understanding what ships.
Stage launched with a Show HN post on 2026-04-16 that drew 130 points and 111 comments. The discussion produced concrete feature requests — chapters regenerated per commit, reviewer-adjustable splits, a CHAPTERS.md control file — and pushed back on the idea that AI-generated diffs needed no human gate at all.
As of 2026-09-06 Stage is live: free for open-source repositories, US$30 per user per month for private teams, with an AI assistant (Stagent) that answers review questions with file-and-line citations. Y Combinator's page says its engineers' work is used at Legora, n8n and Branch, and the product site counts 56,966 pull requests reviewed.
What has to be true
- AI agents made PRs bigger and harder to understand, so teams were merging changes they didn't really grasp — the exact failure Stage targets (YC Launch post).
- The founders intentionally did not build a review bot: bots catch surface bugs but don't solve the root problem of humans understanding what ships (YC Launch post).
- Guiding reviewers through ordered chapters fits how engineers naturally read changes and keeps GitHub's status checks, required reviews and merge rules working (Stage site).
- The 2026-04-16 Show HN thread drew 111 comments with specific product requests, evidence the pain was real (Hacker News).
- Y Combinator's Spring 2026 backing, two-person team and live usage at companies like n8n and Branch show early traction for the thesis (YC company page).
What can be applied
When AI shifts a bottleneck, don't automate it away — redesign the tool around the human left responsible: Stage sells guided understanding, not a bot that reviews for you.
Aftermath
As of 2026-09-06 Stage is an active two-person startup based in San Francisco: the product is free for public repositories, priced at US$30 per user per month for private teams, and its site displays a 56,966-PRs-reviewed counter. The open question is moat: HN commenters asked what stops a GitHub or an established review tool from copying the chapters pattern, and the company's answer so far is depth — Stagent, review analytics and workflow integration rather than a single UI trick.
Sources
- Show HN: Stage – Putting humans back in control of code review
- Stage: Code review platform for humans and agents
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