Skip to content
How I AIHow I AI

Build an AI code review agent with Vercel Eve (full tutorial)

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:* 1. Why AI-generated PRs create a review bottleneck and why the answer isn’t reviewing all of them 2. How Intercom 5x’d PR approval speed and reduced revert rates by putting AI in the review loop 3. Why Vercel Eve is the simplest framework I’ve found for deploying AI agents in Slack and GitHub 4. How I built a full PR review agent in Codex with one prompt and a few steering turns 5. The six components I use to score PR risk (blast radius, reversibility, data security, ops impact, verification gap, and change surface) 6. How I used Chrome browser use to handle Slack bot and GitHub app configuration so I never had to click through setup screens manually 7. Why auto-approved PRs can be SOC 2 compliant as long as the process is auditable, queryable, and in your risk policy 8. How to set up Slack escalation so low-risk PRs become a two-click merge with no manual review *Brought to you by:* WorkOS—Make your app Enterprise Ready today: https://workos.com?utm_source=lennys_howiai&utm_medium=podcast&utm_campaign=q22025 *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 (15:47) The six-component risk scoring model (17:23) Merge Mommy in action: three live PR examples (21:10) Recap and how to build your own version *Tools referenced:* • Vercel Eve: https://vercel.com/eve • Vercel AI SDK: https://sdk.vercel.ai/ • Vercel Chat SDK: https://chat-sdk.dev/ • Codex (OpenAI): https://openai.com/codex *Other references:* • AI is approving our pull requests: Here’s how we made it safe: https://www.intercom.com/blog/ai-is-approving-our-pull-requests-heres-how-we-made-it-safe/ • Review is the bottleneck now: How we let AI approve pull requests (safely): https://rewind.com/blog/ai-approve-pull-requests-safely/ *Where to find Claire Vo:* ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo _Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email jordan@penname.co._

Claire Vohost
Aug 5, 202624mWatch on YouTube ↗

Episode Details

EPISODE INFO

Released
August 5, 2026
Duration
24m
Channel
How I AI
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

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:*

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

*Brought to you by:* WorkOS—Make your app Enterprise Ready today: https://workos.com?utm_source=lennys_howiai&utm_medium=podcast&utm_campaign=q22025 *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 (15:47) The six-component risk scoring model (17:23) Merge Mommy in action: three live PR examples (21:10) Recap and how to build your own version *Tools referenced:*

*Other references:*

*Where to find Claire Vo:* ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo _Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email jordan@penname.co._

SPEAKERS

  • Claire Vo

    host

    Host of the "How I AI" show, covering practical AI tooling and workflows for engineers.

EPISODE SUMMARY

In this episode of How I AI, featuring Claire Vo, Build an AI code review agent with Vercel Eve (full tutorial) explores auto-approve low-risk PRs using an Eve AI review agent AI-generated code is creating PR review backlogs, and Claire argues teams can safely stop human-reviewing every PR by using an AI-in-the-loop risk scoring and approval process.

RELATED EPISODES

How this OpenAI engineer uses Codex + ChatGPT Work to automate everything

How this OpenAI engineer uses Codex + ChatGPT Work to automate everything

How this “non-coder” used Cursor to add AI to retro hardware

How this “non-coder” used Cursor to add AI to retro hardware

I let Codex use my computer. Here’s what it can actually do.

I let Codex use my computer. Here’s what it can actually do.

I hate Opus 5. It’s the best model, anyway.

I hate Opus 5. It’s the best model, anyway.

The AI content machine that turns ideas into posts that don't sound like slop | Alex Lieberman

The AI content machine that turns ideas into posts that don't sound like slop | Alex Lieberman

Local AI models explained: How to run a fleet of Mac Studios and GPUs at home

Local AI models explained: How to run a fleet of Mac Studios and GPUs at home

Get more out of YouTube videos.

High quality summaries for YouTube videos. Accurate transcripts to search & find moments. Powered by ChatGPT & Claude AI.