Phase 4: Intelligence & Automation

[omsherikar]

Goal
Add smart, adaptive capabilities to drive continuous improvement.

4.1 Pattern Learning System

• Create a pattern database that learns from successful refactorings

• Implement project-specific rule tuning based on historical data

• Add suggestion ranking: prioritize refactorings that were most beneficial before

• Track which refactorings developers accept vs ignore

• Build heatmaps showing which code patterns cause most issues

4.2 AI-Powered Enhancements

• Integrate with LLM APIs (OpenAI, Anthropic) for docstring generation

• Add natural language explanations of complex issues

• Implement code suggestion improvements (better variable names, method extraction hints)

• Create semantic similarity detection for duplicate code across different styles

4.3 Auto-Fix Capabilities

• Implement safe auto-fix for low-risk operations (extract constants, fix imports, format)

• Add batch auto-fix with summary reports

• Create user-confirmable auto-fix mode (show diffs, ask for approval)

• Add auto-fix statistics and success tracking

4.4 Multi-File Refactoring

• Detect refactoring opportunities across file boundaries

• Handle circular dependency issues across files

• Implement safe cross-file renaming (function/class renaming used everywhere)

• Add dependency graph visualization