This project use the power of LLM Agents to Refactor Legacy code.
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Updated
Oct 10, 2024 - Python
This project use the power of LLM Agents to Refactor Legacy code.
How do you manage multi-language projects? UR provides a unified, extensible platform for code modernization, cross-language interoperability, and build automation
Agentic AI system for legacy code understanding, documentation, and modernization using retrieval-augmented generation.
Safe, verified legacy code modernization with IBM Bob 2.0: tests first, then upgrade, then prove nothing broke.
Agentic legacy-code modernization platform using program analysis, RAG, migration planning, context-grounded code transformation, and post-migration QA.
DSH skill pack: legacy code modernization workflow (preflight -> assess -> map -> transform) with Cordis mount plugin, offline Python scripts and smoke tests
Validation-first AI agent that modernizes legacy C++ using NVIDIA Nemotron through Nebius Token Factory.
Autonomous code-modernization studio: multi-agent LangGraph system with deterministic guardrails (input filter, tool gateway, egress firewall, SAST validator) between LLM intent and side-effectful execution.
Battle-tested, vendor-neutral agent skill for SDK engineering — assess, design, create, modernize, and release SDKs across any language, framework, runtime, or delivery model. Consumer-first, evidence-led, with phased approval gates and bundled validation tooling.
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