What is an AI software factory?
· 10 min read · by EndorphinLab, the makers of ULU
An AI software factory is a line of specialised AI roles that plan, design, build, test and ship software one after another, with a check between each step. This article explains the idea, shows how ULU works as one, and compares it fairly with chatting to an AI and with hiring a developer.
- An AI software factory splits one big request into roles, such as product manager, developer and tester, and checks the work between them.
- A single chatbot gives you snippets; a factory is built to give you a finished, tested project.
- ULU is a desktop app that sets up such a team for Claude Code, runs build checks, and shows the cost and time of every step.
- You still need your own Claude plan or API key, and you still check the work yourself.
- Whether a factory beats a chat or a hired developer depends on the project.
What is an AI software factory?
A factory is not one clever worker. It is a line of workers, each with one job, and a rule about what must be true before the work moves on. A car is not built by one person who does everything. It is built in stations, and each station checks what arrived.
An AI software factory applies the same idea to code. Instead of asking one AI to do everything in one long conversation, you give the job to a team of AI agents. Each agent has a role, its own instructions and its own memory. The work passes from one to the next in a fixed order.
This is the idea behind "AI that builds software" in its more serious form. The goal is not a clever answer. The goal is a project that was planned, written, tested and prepared for release by something that behaves like a small software company.
Why one chatbot is not a factory
Chat tools are good at answering a question. You ask for a function, you get a function. That is useful, and for small jobs it is often enough.
The trouble starts when the job is bigger than one answer. A real project has many files that depend on each other. Somebody has to decide what to build before anyone builds it. Somebody has to test it. In a single chat, one assistant holds all of these jobs at once, and its memory of the early decisions fades as the conversation grows.
A single chat also checks nothing by itself. It writes, and you are the only reviewer. If you do not code, that is a hard place to be.
What a factory adds
A factory adds three things a chat does not have.
- Roles. One agent writes down what to build. Another decides how. Another writes the code. Another tests it. Each does one thing and does not mark its own homework.
- Checks between steps. Before work moves on, something verifies it: a test run, a search for leftovers, a review.
- Memory and records. The team keeps what it learned, and you can see what each step cost and how long it took.
This is also how a real software company works. A product manager writes the requirements, an architect plans, developers build, testers test, someone releases. The factory copies that shape, with AI agents in the seats. If you want the basics of the agents themselves, read AI agent teams explained.
How ULU works as an AI software factory
ULU is a desktop app for Claude Code. You describe your software project in plain words. Kukulu, the builder bee, turns that description into a team of AI agents and shows every step while they work. You can see the four steps from idea to working team on the homepage.
Roles, in order
A ULU team has roles such as Product Manager, Architect or Tech Lead, Designer, Developer, QA, Security and Release. They work one after another to plan, design, build, test, secure and ship. El Capitan, the orchestrator bee, reads your request and hands the work from bee to bee in order.
| Role | What it does |
|---|---|
| Product Manager | Writes down what to build |
| Architect or Tech Lead | Decides how to build it |
| Designer | Shapes how it looks and feels |
| Developer | Writes the code |
| QA | Writes and runs the tests |
| Security | Looks for weak spots |
| Release | Prepares the project to ship |
Every team follows the same flow and stops for your approval on the design and on the release. Only the technology changes. There are ten ready teams for common stacks, or Kukulu can design a custom team from your description. For a closer look at the stacks, see a ready AI team for your tech stack.
You see the line move
A build is usually a wall of log lines. In ULU every agent is a bee in its own cell, and a gold pulse travels from cell to cell as work is handed over. A bee can be idle, thinking, working, successful, blocked or tired. Blocked means it stopped on an error and needs you. Tired means its memory is nearly full. You can watch the hive work without reading a line of logs.
Build checks
The checks between steps are what turn a team into a factory. ULU runs the project's own test suites and shows the counts. If a build check finds a leftover placeholder or a missing file, ULU asks Claude to repair it.
The test pyramid
Tests come in layers. Unit tests are small and fast. Integration tests check that parts work together. End-to-end tests drive the whole thing the way a user would. ULU runs these suites, using tools such as Jest, Pytest and Playwright, and shows the counts as a pyramid. You do not need to know what each tool does. You can still see whether the layers exist and whether they pass.
Cost and time in view
AI agents cost API money or plan usage. ULU shows the running cost in USD, the time and the file log for every step, and it shows how full each agent's context is. You see this while it happens, not on a bill a month later. The figures on the homepage are examples only; what your project costs depends on the project. For more on this, read what AI agents cost, or look at the tracking section.
If your Claude plan hits its usage limit, ULU pauses the task, keeps the computer awake, shows when the limit resets and resumes without losing the session.
The brain as the factory's memory
A factory that forgets what it did yesterday is a poor factory. The Brain is ULU's project-level memory. It keeps track of how files change together, which tests cover what, and what the team learned. The next bee does not start from nothing.
Teams can also run on a schedule, for example at night, and you can follow builds from your phone with ULU Remote or Telegram.
Honest comparison
A factory is not the right tool for every job. Here is a plain comparison of three ways to get software made.
| Chatting with an AI | AI software factory | Hiring a developer | |
|---|---|---|---|
| Best for | Small questions, snippets, learning | A whole project from a description | Work that needs judgment, talk and responsibility |
| Who checks the work | You | Build checks and tests first, then you | The developer, then you |
| Roles | One assistant | Several specialised agents | One person or a team |
| Cost | Your AI plan | Your Claude plan or API usage, plus ULU after the first project | Fees or salary |
| You need to | Know what to ask for | Describe the project and approve the design and release | Explain, manage and pay |
Against just chatting
If you want one small script or an explanation, a chat is simpler. A factory has setup and a flow, and that is more than you need for a tiny task. For a project with many parts, the roles and checks start to matter.
Against hiring a developer
A good developer understands your business and takes responsibility. An AI team does not. It can be a good way to get a first working version, a prototype or an internal tool. For work where mistakes are costly, you may want a person involved. It depends on the project, and nobody can give you a fair rule without knowing it.
What stays with you
ULU needs your own Claude plan or API key, because the agents run in Claude Code. You also still check the work. The factory approach makes the work easier to check, but it does not remove the need to look. The design and the release stop for your approval for that reason.
How to start
You do not need to code. If you are new to the tool underneath, Claude Code for people who do not code explains it in plain words. ULU also has an install button that sets up what the teams need: Node.js, git, the GitHub CLI, Ollama and Claude Code. As of version 0.7.0, ULU runs on macOS and Linux, and Windows is in the works.
Questions people ask
Is an AI software factory the same as an AI agent team?
They are close. An agent team is the group of agents. A factory adds the line around them: a fixed order, checks between steps, memory and records of cost and time. A team without checks is just several chatbots.
Can AI agents build apps without me writing any code?
Yes, you describe your project in plain language and the agents write the code, tests and workflows. How good the result is depends on the project and on how clearly you describe it. You should still review the design, try the result and check the work.
Does ULU replace a developer?
Not in every case. It can get a project to a working first version without you writing code. For work that needs deep knowledge of your business or carries high risk, a developer may still be the better choice. It depends on the project.
What does it cost?
The first project in ULU is free. Every project after that takes a paid place on a license key. On top of that, the agents use your own Claude plan or API key, and ULU shows what they cost step by step so you can see it as it happens.
What if I hit my Claude usage limit mid-build?
ULU pauses the task, keeps the computer awake, shows when the limit resets and resumes without losing the session. You can also stop at any point and continue later, even days later.
Which technologies can the teams build with?
There are ten ready teams: Node and React, Next.js, FastAPI and React, Go and React, Django, Rails 8, Laravel, Elixir and Phoenix, Flutter and Firebase, and Expo and Supabase. If none fits, Kukulu designs a custom team from your description.
Try it
The quickest way to understand an AI software factory is to run one on a small idea. Your first project in ULU is free. Install ULU, describe what you want in your own words, and watch the bees work.
