Features
Deterministic CodeHealth feedback for AI coding assistants
Local execution for full control and data privacy
Model-agnostic support for any AI assistant or agent
Self-correcting feedback loop for real-time quality improvement
Multi-language support (30+ programming languages)
Technical debt detection and prioritization
Automated code review integration
IDE extensions for real-time prevention
Quality gates for AI coding
Behavioral code analysis beyond static analysis
Code coverage analysis on high-risk areas
Agentic refactoring from pull requests
Token usage optimization (up to 45% savings)
Reduces defect risk by 60%
6x more accurate on maintainability vs SonarQube
Autonomous vulnerability scanning and PR generation
PR review for quality, security, and best practices
Legacy COBOL to Java migration with testing
Incident triage and root cause analysis
Agent Canvas: manage multiple agents in one workspace
Cloud agents run even when your machine is off
Schedule recurring tasks via cron or event triggers
Trigger workflows from GitHub, Slack, PagerDuty
Model-agnostic: supports Claude Code, Codex, Gemini CLI, MiniMax M2.7
Isolated sandbox execution on VM or cloud
Fine-grained access control and budget guardrails
Audit trails for enterprise compliance
Self-hosted deployment in your VPC
Open-source SDK for custom agent development
In-chat model switching with saved LLM profiles
