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Inside LMJuly 2, 20265 min read

How our human + AI teams actually ship software

“Hybrid team of engineers and AI agents” sounds like marketing until you see the workflow. A concrete look at how we split work between people and agents — and where the humans stay firmly in charge.

We describe ourselves as a hybrid team of engineers, designers, and AI agents. That phrase can sound like marketing gloss, so here's what it means concretely on a typical client project.

Agents do the breadth, engineers do the depth

AI agents are exceptional at breadth: scaffolding CRUD screens, writing the first pass of tests, migrating patterns across dozens of files, drafting API documentation. Our engineers spend their time on depth: architecture decisions, tricky state, performance under load, the 10% of a codebase where a wrong choice compounds for years.

In practice a feature starts with an engineer writing a short technical brief. Agents implement the well-trodden parts in parallel while the engineer builds the core logic. Everything meets in code review.

Review is where quality lives

Nothing an agent writes reaches a client repository without an engineer reading it. Not skimming — reading. We treat agent output like a fast, tireless junior developer's: usually correct, occasionally confidently wrong, always worth reviewing. Our review checklist is the same for humans and agents, which keeps the bar consistent.

What this means for clients

The practical effect is speed without the usual quality trade-off. Boilerplate that used to take a sprint takes a day, so a much larger share of the budget goes into the parts of the product users actually feel: the core workflow, the edge cases, the polish.

It also means our estimates have gotten tighter. Agent-assisted work is remarkably predictable — it's the deep human work that carries uncertainty, and isolating it makes it easier to scope honestly.

Have a product in mind?

Tell us what you're building — we'll tell you how we'd ship it.