[{"data":1,"prerenderedAt":43},["ShallowReactive",2],{"project:/projects/phoenix":3},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"title":8,"description":9,"tags":10,"live_url":15,"source_url":15,"image":16,"icon":17,"featured":18,"status":19,"period":20,"role":21,"about":22,"stack":26,"body":30,"_type":37,"_id":38,"_source":39,"_file":40,"_stem":41,"_extension":42},"/projects/phoenix","projects",false,"","Phoenix","Agentic generative AI for safe codebase refactoring with strict safety gates",[11,12,13,14],"LLM Agents","Safety Gates","Evaluation","Static Analysis","#","https://placehold.co/600x400?text=Phoenix","phoenixframework",true,"Paper at ICRAI 2026","January 2026 - Present","Co-author & Architect",[23,24,25],"Phoenix is an agentic system for safe end-to-end codebase refactoring. It pairs LLM-driven patch synthesis with strict static-analysis and dynamic-validation safety gates, so that no generated change lands without passing correctness checks.","I architected the agentic pipeline and designed a multi-repository evaluation protocol quantifying correctness preservation, maintainability gains, and developer-effort reduction.","The work is published as 'Phoenix: Safe End to End Codebase Refactoring via Multi-Agent LLMs' at the International Conference on Responsible AI (ICRAI) 2026.",[11,27,28,29],"Static Analysis Gates","Dynamic Validation","Python",{"type":31,"children":32,"toc":33},"root",[],{"title":7,"searchDepth":34,"depth":35,"links":36},2,1,[],"markdown","content:projects:phoenix.md","content","projects/phoenix.md","projects/phoenix","md",1786626763530]