Legacy Modernization
We don't point AI at your legacy system and pray. We write custom tooling, build a complete test suite, and migrate with confidence.
The existing system is the requirements. It defines exactly what needs to happen — every workflow, every edge case, every business rule. That's the most precise specification you'll ever have. AI excels at understanding existing codebases and translating them to modern stacks. But it needs the right approach.
We build custom tools to analyze your legacy system, generate a comprehensive test suite from its actual behavior, and then migrate — validated at every step. The test suite proves the new system does everything the old one did. No guessing, no gaps, no "we'll fix it in production."
Our Process
Custom analysis tooling
We write tools specific to your legacy system — mapping dependencies, identifying dead code, understanding proprietary languages or frameworks, and documenting the actual behavior of every component. AI does the heavy lifting, but the tooling is custom to your codebase.
Comprehensive test suite
Before we write a single line of new code, we build a test suite that captures what the legacy system actually does. Not what the documentation says — what the system does. These tests become the acceptance criteria for the migration. If the new system passes every test, the migration is complete.
AI-assisted migration
With the test suite as guardrails, AI handles the translation to a modern stack. Test-driven development validates every output. The combination of custom analysis tooling, comprehensive tests, and AI-assisted code generation is why we ported 4M lines of Java/XML to 120K lines of TypeScript in 75 days.
Production deployment
The new system deploys as a single binary into your environment. Simple to operate, simple to back up, simple to monitor. Source-available license — you keep the code and can maintain it independently.
Why this works when others fail
Most modernization projects fail because they try to gather requirements from scratch — interviewing stakeholders, writing specs, building from a document that's already out of date. The legacy system has been running for years. It IS the requirements. Our approach uses the actual system behavior as the source of truth, not anyone's memory of it.