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
Trained exclusively on production code for maintainability
Supports COBOL, Fortran, Verilog, Rust, SQL
Terminal-native CLI with local-to-remote execution
External tool access via MCP
Multi-agent orchestration via Cosine Swarm
Cosine Cloud for parallel tasks and shared projects
Scout model: on-device, post-trained from Devstral 123B
Outpost model: 59.3% on Niche-Bench, post-trained from Kimi K2.6
Frontier model: coming soon for frontier-scale reasoning
Air-gapped deployment option
Managed single-tenant cloud
Credit-based usage metering
CLI built-in search (v1.16)
Lumen Sovereign coalition for sovereign AI
