The Full Modernization Lifecycle Is Live
Two months ago we launched CodeSplit AI with one capability: microservice extraction. Connect your repo, select a domain, get pull requests. That was the whole product.
Since then we have shipped ten more.
What's Live
Codebase Profiling. Connect your codebase and within minutes, your entire stack is mapped. Languages, frameworks, build systems, databases, architecture. Backend, frontend, or full stack. No instrumentation. No agents on your servers. Just the code.
Endpoint and Route Discovery. Every API endpoint and UI route discovered automatically with method, path, handler file, and business description. The map of your codebase that would take a new engineer weeks to build in their head.
Business Domain Mapping. AI identifies candidate business domains from the structure of the code. Capabilities, data entities, integrations, source files. You can also define your own. This is the foundation for everything that follows.
Rebuild Contract. Full architectural analysis: domain structure, cross cutting concerns, external dependencies, summary. Exportable as a branded PDF. The document that consulting firms produce after weeks of architecture workshops. We generate it in minutes.
Tech Debt Analysis. Categorized quality issues with severity levels. What the issue is, where it lives, how bad it is. The stuff that has been quietly costing you, surfaced in one pass.
Dead Code Cleanup. AI identifies dead code and groups it by priority. Select the groups, execute, get before and after metrics. Every removal is verified against the build. Dead code gone, build still green. This is the lowest risk, highest impact first step for any modernization effort.
Service Extraction. AI proposed service plans or manual domain selection. Pick the endpoints, execute, get modular and tested pull requests. New repository, refactored monolith, API surface generated, dependencies rewired. Ready to review and ship.
Page Extraction. AI proposed package plans for UI pages. Select pages, execute, get extracted component packages as PRs. Frontend modernization, same workflow.
Framework Migration. Swap frameworks within the same language. Spring to Quarkus. Angular.js to React. Express to Fastify.
Language Conversion. Rewrite across languages. Java to Kotlin. JavaScript to TypeScript. Python 2 to 3.
Version Upgrade. Upgrade within the same language or framework. Java 8 to 17. Node 14 to 20. Python 3.8 to 3.12.
The Point
Every one of these is live. Not planned, not on a roadmap slide, not "coming in Q3." Live and working on real codebases.
The workflow is the same across all of them: connect your codebase, set the scope, we execute. The result is modular and tested pull requests that are ready to review and ship. Whether you are cleaning dead code, extracting a service, or migrating from Java 8 to 17, the experience is identical.
No platform owns this full lifecycle today. Existing tools do one slice. Consulting firms do more but at $500K to $3M per project and timelines measured in months. We deliver the same scope as software.
What This Means
If you are an engineering team stuck on a monolith, you no longer need to choose between expensive consultants and years of manual work. Connect your codebase, profile it, see what needs to change, and start changing it. All from one platform.
If you are a team lead trying to justify a modernization initiative, run a rebuild contract. In minutes you will have a PDF that maps every domain, every dependency, every cross cutting concern. That document alone is worth the conversation with your VP of Engineering.
If you are a developer who has been wanting to clean up that dead code for months but nobody will prioritize it, now you can prove the impact. Run the analysis, show the numbers, execute the cleanup, and ship the PR.
See It
We just released a 60 second demo showing the full platform end to end. Or try it yourself at app.codesplit.ai.