AI-Powered Closed-Loop Refactor Orchestration
Automate large-scale code transformation across multi-repo workspaces.
Detect → Plan → Execute → Verify → Heal → Repeat
The Koru closed-loop refactor orchestration in action: detect, plan, execute, verify, heal, and repeat.
Transform how teams approach large-scale code modernization with intelligent, auditable automation.
Detect issues → plan fixes → execute changes → verify safety → heal failures → repeat
Structured, auditable refactor pipelines with zero-trust policy gates
Multi-tier validation (unit tests, integration tests, semantic analysis)
Coordinate multiple AI agents (Windsurf, Cursor, Claude Code, aider, OpenRouter)
Terminal-driven IDE control with keyboard injection + plugin routing
Unattended 24/7 refactor execution with human-safe fallbacks
Ticket-as-code with lifecycle state machines
Safe-by-default LLM agent guardrails (no commits, no pushes by default)
One command across matching repos with closed-loop retry
Machine-readable event logs for CI/CD integration
20+ integrated tools for the complete refactor automation pipeline
Ticket backlog & execution gateway
Python regression metrics & tracking
Duplicate detection & deduplication
Declarative HTTP scenario tests
Real-time service dependency health
Multi-tier semantic patch validator
OpenRouter-powered auto-refactor
Proactive LLM-aware linter
Zero-config AI cost per commit
pip install koru
koru --init
koru
koru --queue --loop
Join teams using coru for closed-loop code transformation