A first version matters now
A new product, an internal tool or a SaaS you'd rather own than rent. You can tell what users need at launch from what can wait.
Explore
AI-native development · Fast-track custom development
Ship a focused product with engineers accountable for it
For founders with a clear problem and a product scope they can prioritize. Our AI Software Factory uses reviewed AI work alongside senior engineering, with acceptance criteria, tests and documentation developed together with you, so the first release has an agreed purpose and a team responsible for it.
- 130+People, remote across Poland
- 44 daysFirst line of code to live, one consumer product
- 5.0Clutch rating, 11 reviews
This is for you if you can commit to a focused first version
Someone can make product decisions
Most days. On our 44-day build the product owner put in 313 hours: a full-time job, not a weekly check-in.
You can show how it should behave
A reference product, a competitor or the tool you use today. The clearer the picture, the less there is to write down and the shorter the calendar.
You want to see the engineering split
Which tasks agents handle under review and which a senior engineer owns from day one, before you pay for either.
What you get. A first version running in production
Scope and acceptance criteria
What the first working version must do and what waits, written down before the build, with the price.
A working product, live
Deployed to your accounts. In our 44-day build that meant a web app, an admin console, an API and a background worker.
Tests and docs written with the code
Agents update tests and documentation in the same change as the code. By the end of our 44-day build: 731 test files and 107 pages of documentation.
Code and accounts in your name
Your GitHub from the first commit, your cloud, your keys. Handover with the documentation, or we stay on as the team.
A product owner and developers in one loop
The pace comes from how closely your product owner and our developers work: questions answered the same day, decisions written into the ticket, two short meetings a day. No tool replaces that.
A human QA pass before release
Automated checks catch regressions. Before each release, a QA engineer also tests the agreed user flows and devices by hand, checking usability, unexpected inputs and failure paths.
Tech stack. What a six-week product ships on
Day 0 is not empty. In our 44-day build, the architecture and the first outside connections were in place by the end of the opening weekend: we carried in backend and frontend pieces, setup scripts, agent instructions and review rules from earlier projects.
Tech stack
- Claude Code
- Cursor
- Codex
- Next.js
- React
- TypeScript
- Fastify
- NestJS
- PostgreSQL
- Supabase
- Prisma
- Vercel
- AWS
- GitHub Actions
- Playwright
- Sentry
How we work
Scope controls the pace
We assess whether your product fits the Factory model before estimating the work. During delivery, engineers review agent output while senior people own data boundaries, security and decisions that would be costly to reverse. A person accepts every change; no AI decides whether a change is acceptable.
What stayed with me was the communication. Fast, clear, and always with something concrete - a proposal, an update, a solution. We never had to wonder what was happening.
How it works. From Factory fit to first release
Check the fit, in writing
What the first working version takes: the people, the weeks, the budget, and what you need to have ready before day 0.
Set the first-version boundary
Essential behaviors and acceptance criteria agreed, open questions named, and the price before the build starts.
Six to eight weeks of build
Agents write each change with its tests and docs; nine automated checks run; a developer inspects and accepts it; your product owner answers questions the same day. Two short meetings a day.
Launch and agree the next stage
A QA engineer goes through the release by hand before it ships. We deploy to your accounts and stay for the fixes that launch brings: on our own product the commit rate rose about 60% after go-live and about half of those commits were fixes. Keep us as the team, or take it in-house.
Proof, not promises
EdTech · AI
AI-powered medical tutoring for Elite Medical Prep
AI · FinTech
Taking over a crypto platform no one else could ship
FinTech · Government
AML-grade oversight for U.S. political ad spend, built from scratch
Questions about the Factory model
- No. We work in your repository, your cloud and the tools your team already uses. If one of them gets in the way of the work, we tell you what and why, and you decide.
- With a 30-minute scoping call. We look at what you have and what you need, then propose a first step with its scope and price before any work starts.
- No. The AI Software Factory offer targets a first working version of a SaaS or an internal tool in six to eight weeks, depending on complexity and scope; it is not a guarantee for every product. Our brief describes one consumer product that went live 44 days after its first line of code. Discovery determines whether your release fits that model and what schedule we can agree.
- One person who can decide, most days: on the 44-day build the product owner put in 313 hours. Also access to the accounts the product will run on, and a clear picture of how it should behave.
- A developer inspects every change and accepts it; a person accepted each of the 756 changes in the 44-day build. Nine automated checks run first: lint, build, types, dead code, architecture rules, API contracts, integration tests on a throwaway database and browser tests.
- We assess the effect on the agreed first version and show you the tradeoffs: move lower-priority work out of scope, or revisit the date and the estimate.
- Real users find what the first version missed. On our own product, PirxeyOS, 46% of 587 commits across the whole log were fixes and the commit rate rose about 60% after go-live. Plan for it: we stay as the team, or hand over with the documentation and tests.
- A bounded first version may fit even when the eventual product is larger. Unresolved dependencies or extensive scope can require a different delivery plan, and we name them before you pay.
How we think about this, in our own words
Interactive briefs and articles by our team, picked for this service
AI Software Factory: a working product in six weeks
The 44-day build behind this offer, with the team, the accepted changes and the hours laid out as a diagram you can explore.
Read the briefAI software factory: where the humans go
A week of our software factory running fifty tickets end to end, with people making exactly two decisions per ticket.
Read the briefHow AI-native delivery reduces time-to-market without lowering product quality
Why faster coding does not automatically mean a faster launch, and how AI-native delivery shortens time to market while you keep control of quality.
Read the articleDefine the product you need to launch first
Tell us what the first version must do, who will use it, what it has to connect to and who on your side can make product decisions.
Direct contact
Mike KacprowiczBook a callChief Growth Officer