The AI software factory for product teams

What is an AI software factory?

An AI software factory is a set of specialized agents wired to triggers instead of one-off prompts. It combines product context, self-verification, and deliberate human handoffs to move an incoming signal to a reviewed pull request.

How the factory works

One feedback agent reads the source signal, gathers context, deduplicates it, and routes the next action. Bugs go through reproduction, a proven fix or improved diagnostics, and independent review. Features go through a solution check, specification and design when needed, human direction, build, and independent review. Both paths end in a reviewed pull request that a person decides whether to merge.

Why verification comes first

Agents use tests, CI, diagnostics, design-system rules, and codebase instructions to prove their work. If an agent cannot reproduce a failure or verify a result, it stops or improves the diagnostics instead of guessing.

Where people stay in control

Every agent produces a reviewable artifact, hands it back, and stops. A human approval, reply, assignment, or issue movement triggers the next stage. People retain responsibility for product direction, design judgment, technical direction, and the decision to merge.

How it differs from a coding assistant

A coding assistant helps with the step in front of you. A software factory connects the whole line: how work begins, which context travels with it, how agents hand artifacts to one another, where people approve decisions, and what finished work looks like.

Frequently asked questions

Is this just a group of coding agents?

No. Coding agents are workers inside the factory. The factory also defines triggers, context, handoffs, approval gates, and outputs.

Does it replace product, design, or engineering?

No. It moves those teams from driving every execution step to supervising priorities, judgment, quality, and release.