Why We Built CodeSplit AI
Every engineering team we have worked on has faced the same problem: a monolith that has outgrown its architecture. The business needs to move faster, but the codebase has become a bottleneck. Teams spend quarters, sometimes years, on mechanical modernization work instead of building what matters.
The Problem We Lived
We spent years modernizing legacy systems. We saw the same pattern everywhere:
- A monolith accumulates years of business logic
- The team decides it is time to extract services
- Engineers spend months mapping dependencies, extracting code, rewiring integrations, and writing tests
- The work is mechanical, repetitive, and error-prone
- Meanwhile, feature development stalls
This is not an engineering problem that requires creativity. It is a mechanical transformation that should be automated.
What CodeSplit AI Does
CodeSplit AI delivers end-to-end code modernization as software. You connect your repository, and the platform:
- Analyzes domain boundaries. AI identifies bounded contexts and maps dependency relationships.
- Extracts microservices. Creates new service repositories with clean, tested code.
- Refactors the monolith. Removes extracted domains and wires in API calls.
- Delivers PRs. Two pull requests (monolith and microservice) ready for code review.
The result: modernization in days instead of months.
Starting With Extraction, Building a Platform
Microservice extraction is step one. The CodeSplit AI platform is designed for every stage of code modernization:
- Live today: Domain boundary analysis, microservice extraction, integration testing
- Coming next: Framework migration (Java 8 to 17, Angular to React)
- On the roadmap: CI/CD generation, cloud deployment automation
Our goal is to make code modernization a solved problem. Automated, fast, and accessible to every engineering team.
Try It
We are accepting early access requests at codesplit.ai. Connect your repository and see what automated modernization looks like.