Modernize without the big-bang risk.

What you get

• Incremental migration — capabilities moved off the old system one at a time, with the legacy system live until each piece proves out.
• Codebase mapping — AI-assisted analysis of large, undocumented code to reconstruct the rules and behaviour, verified by senior engineers.
• Modern, maintainable stack — a clean architecture, test coverage, and CI/CD that future teams can actually work in.
• Safe cutover — strangler-fig routing, clear rollback at each phase, and no high-stakes flip-the-switch moment.
• Integration continuity — connections to the surrounding systems preserved so the business keeps running throughout.
• Your repository — the rebuilt codebase in your GitHub organization, with handover docs and no lock-in.

How we build it

One focused discovery maps the legacy system and produces a phased, fixed-price plan. Senior engineers design the target architecture and migration sequence — the blueprint the AI builds against. AI agents map the old code and generate the rebuilt components (APIs, frontend, tests, CI/CD) in parallel, and every pull request is reviewed line-by-line by a senior before it ships. You see weekly demos against a live staging environment, and every phase includes a 30-day post-launch window for fixes and tuning.

Default technology stack

Next.js / React / TypeScript on the front end, Node.js or Python (FastAPI) on the back end, PostgreSQL plus Redis, hosted on AWS or Vercel, with Supabase where it fits and an AI layer (OpenAI, Anthropic Claude, open-weights via LangGraph) used for code analysis and where intelligence adds value. If your environment requires it — Java, .NET, or on-prem — we adapt.