Build an AI code review bot in 30 minutes with Vercel Eve

Wednesday · 24 min · 23.2 MB

0:00-24:13

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AI writes most of my code now, and that created a new problem: a PR queue I couldn’t keep up with. In this episode, I walk through how I built Merge Mommy, a Vercel Eve agent that reads every PR after checks pass, scores it across six risk dimensions, auto-approves the low-risk ones, and pings me in Slack for anything that needs a human. I built the whole thing in one Codex session, it’s SOC 2 compatible, and it’s already cleared my backlog.

What you’ll learn:

Why AI-generated PRs create a review bottleneck and why the answer isn’t reviewing all of them
How Intercom 5x’d PR approval speed and reduced revert rates by putting AI in the review loop
Why Vercel Eve is the simplest framework I’ve found for deploying AI agents in Slack and GitHub
How I built a full PR review agent in Codex with one prompt and a few steering turns
The six components I use to score PR risk (blast radius, reversibility, data security, ops impact, verification gap, and change surface)
How I used Chrome browser use to handle Slack bot and GitHub app configuration so I never had to click through setup screens manually
Why auto-approved PRs can be SOC 2 compliant as long as the process is auditable, queryable, and in your risk policy
How to set up Slack escalation so low-risk PRs become a two-click merge with no manual review

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In this episode, we cover:

(00:00) The PR review backlog problem nobody’s talking about

(02:35) Why you don’t have to review every AI-generated PR

(05:14) How Intercom built AI-approved PRs (and proved they’re safer)

(06:10) How the Eve framework works (directory, skills, channels, connectors)

(09:16) The Codex prompt I used to build the entire bot

(11:36) What the agent actually does: read, score, approve, or escalate

(13:07) Setting up your Eve agent