Features
Cloud and local LLM support (Claude 3.7 Sonnet, DeepSeek R1 & Chat V3, OpenAI o1, o3-mini, GPT-4o)
Codebase mapping for project-wide awareness
100+ programming languages supported
Automatic Git commits with sensible messages
Linting and testing on every change
Add images and web pages as context
Copy/paste integration with web chat LLMs
In-IDE integration (watch mode with IDE comments)
Automatically fix linter and test failures
Multiple chat modes (code, architect, ask, help)
Prompt caching for cost and speed optimization
Map-based repository context (no full file payloads for every edit)
YAML and .env configuration support
Screen recording demos and tutorial videos available
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
