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Code migration is no longer a manual, one-off effort. With agentic AI…

Code migration is no longer a manual, one-off effort. With agentic AI frameworks like CrewAI, Google ADK, and LLM-powered tools, we can now design multi-agent systems that analyze legacy code, detect compatibility issues, recommend modern syntax, and even generate a migration report — all through guided LLM orchestration.

🔍 I have created an experiment that modernizes Java 8 to Java 17+, powered by:
🧠 Specialized agents for legacy assessment, compatibility checks, refactor suggestions, and reporting
🔄 Prompt-driven tools using Google Gemini (via Google AI Studio)
📄 Outcome: a markdown-based migration plan with clear upgrade paths and insights

This provides a template to get started — but you can extend it by modifying the prompts and plugging in custom tools that are executed as part of the agent workflow. Whether it’s deeper code analysis, security validation, or auto-refactoring, the structure is fully modular.

🧪 Available here to try and extend:
👉 https://lnkd.in/dDPaygET