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AI software factory: agent teams that ship around the clock

A team of AI builder agents and one coordinating agent, working through your backlog day and night, with proof for every ticket.

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One agent can finish a ticket. A backlog of hundreds needs a team, and a team needs someone coordinating it. We set up that team out of agents: builders that each own part of the code, and a coordinator that keeps work moving and proves what shipped.

We run this setup ourselves for heavy work, and we wrote up what worked and what broke. You get the same structure built around your repository, your checks and your rules, with the manual your own team can read and change.

It runs on plain Claude Code sessions, agent skills and files. There is no extra platform to host, and it can move to Claude Code Projects or agent teams as those mature.

01Deliverables

What you get

  • Builder agents, each with its own area of your codebase, its own goal file and its own ledger of work
  • A coordinating agent that routes tickets, answers blockers, merges, deploys and verifies what is live
  • Release trains: many tickets in one pull request, with a failing ticket dropped instead of holding the rest
  • A test-first build discipline, so every ticket carries its own failing test, passing test and evidence
  • State kept in files, so a crashed session restarts from its ledger and loses nothing
  • Written safety rules: no agent pushes unchecked, resets a database or touches real data without a person
  • A nightly full test run with failures triaged into tickets

02Process

How we work

One loop for our products and for client work. Every step is written down.

  1. Specify

    We write down the backlog, the deadline, the limits that cannot move and the decisions that stay with a person.

  2. Plan

    The codebase is split into areas that do not share files, one per builder, with goals, ledgers and required checks.

  3. Build and review

    Builders work test-first in parallel. A coordinating agent routes, merges and deploys, and a separate check gates every release.

  4. Verify

    Every ticket closes with its own evidence, and the running version is read back from the server.

03Proof

Where we already do this

Our own products and notes, open to read.

04FAQ

Questions

What is an AI software factory?
Several AI coding agents working in parallel on one codebase, each in its own area, plus a coordinating agent that routes work, merges, deploys and keeps every ticket accounted for. People set the goals and the limits.
When does it make sense?
When there is a large, well-specified backlog and one team cannot get through it in time. It needs a codebase that splits into separate areas, tests that can run automatically and tickets with clear acceptance criteria.
Can it run without anyone watching?
It runs day and night, and it reports to one person in plain words. That person is asked only about undecided business values, acts that need a human, and anything touching real data or production.
How is this different from AI agent development?
Agent development builds one scoped workflow with approval at each stage. A factory is a standing team of agents with a coordinator, built for heavy, continuous workloads.

Work with us

Tell us what you want built.

A short form. We reply to every message about client work.

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