What is a software factory?
The people, agents, checks, and learning loop that make up an AI software factory.
Guides
Start with the complete system, follow a product request through it, plan one safe pilot, and measure what reaches users.
The people, agents, checks, and learning loop that make up an AI software factory.
How coordinated coding agents share work: the task graph, the orchestrator, the checks, and the human decisions that stay.
Designing the instructions, tools, context, permissions, and feedback around a coding model, and why that design is a cost and control decision.
The lights-out end of the software-factory range: agents write nearly all the code, and people keep direction, review, and release.
A passing check covers a stated property under specific assumptions. Learn how model checks and proofs differ, and what to review when agents write specifications.
How requests reach agents, how results are checked and released, and how the team learns from the work.
Choose a recurring job, compare it with today's process, prepare the agent's tools and tests, and measure what it takes to deliver an accepted result.
Five numbers for judging speed, rework, quality, human attention, and the real cost of AI-assisted delivery.