Agentic Platform Engineering: How to Build an Agent Infrastructure That Scales From Your Laptop to the Enterprise

Starting local is not thinking small. It's thinking strategically. Stripe recently published a series on how they build "Minions" — fully autonomous coding agents that take a task and complete it end-to-end without human intervention. One agent reads the codebase, another writes the implementation, another runs the tests, another reviews the result. All in parallel. All coordinated. All producing production-ready code at scale. Reading that, most engineers react one of two ways. Either "that's years away for us" — or they start thinking about what foundations would need to be in place to even begin moving in that direction. This article is about the second reaction. What Stripe describes is not a product you buy. It's a capability you build, incrementally, on top of solid infrastructure. And that infrastructure — the way agent configuration is stored, versioned, distributed, and composed — is what separates teams that can scale AI seriously from teams that are still copy-pasting prompt