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Manually rewriting millions of lines of aging code is risky, expensive, and takes years. Praxys leverages specialized AI code agents to automatically translate legacy languages (COBOL, RPG, older .NET/Java) into modern, cloud-native frameworks with near-perfect syntactic accuracy.
Why old programming languages threaten business continuity
The developers who understand COBOL, PL/I, or RPG are retiring, making legacy systems impossible to maintain.
Attempting to manually rewrite millions of lines of undocumented code often results in failed, multi-year projects.
Every change request requires extensive regression testing, slowing down time-to-market.
Legacy code cannot take advantage of modern cloud elasticity, serverless compute, or microservices.
We use fine-tuned Large Language Models and specialized AST (Abstract Syntax Tree) transformation tools to parse legacy code and generate modern, objected-oriented equivalents. We don't just translate syntax; we map legacy paradigms to modern best practices.
From old iron to modern clouds
Transform mainframe applications into modern cloud-native REST APIs or Microservices.
Convert ISAM, VSAM, or older relational data models into modern PostgreSQL, SQL Server, or NoSQL.
Escape sprawling Excel macros and old scripts by converting them to secure Python or Node.js automation.
How we safely transport your logic to the future
Scanning the legacy repository to identify dependencies, dead code, and complexity metrics.
Creating the translation rules and tuning the AI models for the specific dialect and target architecture.
Running the bulk translation engine, accompanied by human-in-the-loop review for complex logic.
Ensuring the new code compiles, meets modern linting standards, and passes security scans.
Executing dual-run testing (comparing legacy output vs. new system output) before final deployment.
The stack that powers precise translation
Schedule a code assessment to see how fast AI can modernize your critical legacy applications.