Multi-Agent
Code Intelligence
An orchestrated AI pipeline that autonomously detects duplicate code across repositories, designs shared libraries, assesses financial impact, and generates migration roadmaps — end-to-end without human intervention.
Scans function-level ASTs across repositories to identify semantic duplicates and structural similarities.
Designs shared library architecture from detected patterns, generating typed interfaces and module boundaries.
Calculates ROI, developer-hours saved, and risk-adjusted financial projections from refactoring initiatives.
Generates phased migration roadmaps with task breakdowns, dependency graphs, and risk mitigation strategies.
Each agent runs as an independent LLM call with structured outputs. The orchestrator passes context between agents, building a complete analysis graph from raw repository data to actionable migration plan. Results are streamed progressively as each agent completes its stage.