Features
Write, refactor, and test code directly in VS Code
Multi-step edits across files in a single session
Multi-agent orchestration (Swarm) for parallel execution
Contextual understanding of entire codebase
Supports niche languages: COBOL, Fortran, Verilog, Rust, complex SQL
Reduces AI slop with production-quality training data
Built-in memory and context management
Planning and reasoning for complex changes
Browser automation and LSP manager capabilities
Custom skills, plugins, hooks, and modes
MCP (Model Context Protocol) for external tool access
Background tasks and queueing
Session history and timeline
Lumen Outpost model (post-trained from Kimi K2.6)
Credit-based usage across all surfaces (CLI, Cloud, VS Code)
Live knowledge graph from code, commits, issues, and docs
Feasibility analysis: flags buildable vs risky items
Technical design document generation grounded in service topology
Impact assessment maps services, APIs, and dependencies across repos
Auto-scoping epics into Jira/Linear stories with effort estimates
One-shot production code generation grounded in service patterns
AI code reviews with cross-repo impact analysis
Production issue triage via MCP
Conversational learning from Slack and Jira
Accelerated onboarding via system-level Q&A in coding agents
Create Jira tickets and merge requests from Slack
MCP server for integration with Cursor, Claude Code, Codex
On-prem or cloud deployment
No code storage or model training
