Our method
AI changes the rules of software development. What used to take a team months now takes weeks, and quality is higher thanks to verification tooling. Below — how we do it and where AI hits its limits.
Where AI helps
AI is built into every step — not as a press-release talking point, but as a tool we use daily:
- Requirements analysis. Parsing requirements, surfacing contradictions, recovering what wasn't said.
- Prototypes. Quick working mockups of screens and scenarios — to align on the vision before code.
- Code generation. Boilerplate, standard modules, schema migrations, infoblock definitions.
- Code review. An AI assistant walks through diffs and flags problems before they reach QA.
- Tests. Auto-generated unit and integration tests from contracts.
- Documentation. Tech docs, user instructions and API descriptions generated from the finished code.
Where AI does NOT replace
This is worth stating explicitly: we don't position ourselves as "AI does everything". AI is a tool. Decisions and responsibility stay with people.
- Architecture. "How will this be alive 3 years from now" decisions are made by the architect.
- Client conversations. Only a person can understand what the business actually wants.
- Business logic. Business rules are written together with the client, not guessed at by a model.
- Responsibility for what's shipped. We are responsible for the result — contractually. AI does not sign acceptance certificates.
Sprint
We work in 1–2 week sprints. Each sprint is:
- An agreed scope (the sprint backlog).
- A fixed price for that scope — no surprise "extras coming later".
- A demo at the end of the sprint — you see working software, not a report.
- The ability to adjust the next sprint based on the demo.
This breakdown gives you two things: budget predictability and the ability to stop or redirect the work at any sprint boundary.
Guarantees
What you get at the end of each sprint:
- 30 days for defects. If a bug on our side surfaces after handover — we fix it without extra charge.
- Source code. Handed over with the deployed result. No black boxes.
- Documentation. A short architecture write-up, deployment instructions, descriptions of key modules.
- Contract and NDA. We work strictly B2B, by contract. We accept your NDA.
Stack
Technologies we use regularly:
- Backend: Go — primary language. PHP (1C-Bitrix, plain PHP), Node.js, Python — for tasks where they fit better.
- Frontend: Vanilla JS, Vue, React — chosen per task.
- Databases: MySQL, PostgreSQL, ClickHouse for analytical workloads.
- Integrations: 1C, telephony, marketplaces, EDM, payment systems.
- AI tools: Claude and GPT — for typical projects; local models (Llama, Qwen) — for NDA-sensitive work where data must not leave the client perimeter.
This is not "AI instead of developers". It is "developers + AI instead of developers". Higher quality, less time — better for everyone.
Ready to discuss?
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