Use multi-agent AI to read, refactor, and modernize millions of lines of legacy code - safely, incrementally, and up to 30–50% faster.
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High modernization cost and unclear ROI
Deep technical debt hidden in years of changes
Shortage of engineers who understand legacy stacks
Complex testing and regression risk across modules
Read and understand millions of lines of legacy code autonomously
Produce architecture maps, documentation, and dependency graphs
Continuously generate tests and validate behavior
Shorten delivery time by 30–50% while improving code understanding by up to 67%
Consolidate duplicated functions and region-specific forks into a unified codebase driven by configuration. Kolosal clusters similar logic, generates shared stubs, and refactors them into reusable modules — reducing maintenance drag and inconsistency across markets.
Break monolithic applications into clean, logical components that are ready for microservices or a modular monolith. Kolosal identifies natural boundaries, separates responsibilities, and prepares contracts between components, so teams can work in parallel.
Wrap older components with abstract interfaces and APIs instead of rewriting everything at once. Kolosal helps you adapt, not just replace, so you can plug legacy capabilities into a modern stack and upgrade them over time.