Stripe's Coding Agents Ship 1,300 PRs EVERY Week - Here's How They Do It

A few weeks ago, Stripe dropped a bombshell for us. They are now shipping over 1,300 poll requests every single week that are completely AI written. So, humans review the code still, but they don't write a single line of it. And for an organization at this scale, they have to have a lot of reliability to make that possible. So, they built their own internal agent harness called Minions. And they published a couple of blog posts covering exactly how this works. And so, yeah, it's a flashy headline, but when we get into these blog posts, and that's what we're going to do today, there are a ton of super valuable lessons. And so, think about this. Stripe, it has a very complicated codebase. They have a backend written in Ruby. It's an uncommon stack. They have a vast number of homegrown libraries that are generally unfamiliar to large language models. And on top of that, being Stripe, they have very high stakes because they're moving over $1 trillion in payment volume per year. And so complicated codebase, everything has to be perfect. And so if they've built a system that's reliable enough to ship at scale for them, really any company, you would be able to do this. And so that's what I want to get into today. How Stripe has made this possible. How you can take these ideas that we'll get into and apply them for yourself. And this is even more important than you would think because a lot of these larger companies are starting to build their own agent harnesses to make AI coding more deterministic, more reliable. So Shopify, they created their own structured AI workflow engine as well called Roast. They actually open source this. I'll link to this in the description. Airbnb is doing the same thing, especially for helping with their test migrations. And then AWS has their own internal tooling as well that they've started to share about in a blog post. So all these companies are building structured AI workflow engines. But what does this mean exactly? Let's get more specific now. And of course, to make this super clear for you, I have a handy dandy diagram. So, we'll start with the highlevel pattern. How do all of these structured AI workflow harnesses work? Then, we'll get into Stripe Minions specifically. I'll refer back to the blog post and pick out a lot of the key information there as I go through this. And then, honestly, most importantly, I want to cover how you can extrapolate these ideas to build your own workflow. How can you take these ideas? You can build something like Stripe Minions for yourself honestly very quickly. Having this combination of agent nodes and more deterministic nodes, this is what defines our workflow to make things more reliable for our coding agents. I'll get a lot more specific on this as we explain the pattern