The Guide to Cloud Software Factories for Engineering Leaders
AI coding agents already write a lot of your code — but most teams still run them one command at a time, on someone's laptop, with no audit trail and no way to scale past a single engineer's attention.
A cloud software factory turns that into governed infrastructure: agents run in the background across your whole SDLC, triggered by the events that already drive your team — a Slack thread, a GitHub issue, a scheduled job — with humans reviewing at the checkpoints you choose.
This guide walks engineering leaders through what a cloud software factory actually is, how it differs from a single coding agent or a CI/CD pipeline, and how to plan a rollout that earns trust one workflow at a time.
What you'll learn
- What separates a cloud software factory from a single coding agent or a CI/CD pipeline
- How to define a factory as code — repos, agents, models, permissions, and checkpoints in one place
- How to govern agent runs with audit trails, budgets, and human checkpoints as you scale beyond one team
Trusted by engineering teams building cloud software factories:
