Features
Prompt management with versioning
Evals platform with LLM-as-Judge and automated eval builder
Synthetic data generation (filter, label, generate)
Fine-tuning support (distill into smaller models)
RAG (index, chunk, retrieve, rerank, semantic chunking)
Agents with sub-agents, skills, tools, and MCP support
Auto-Optimizer that tunes prompts to eval scores
AI Assistant for guided experimentation and optimization
Git-backed dataset and eval versioning
Structured output (JSON) and reasoning support
Human ratings and golden datasets
Collaboration through reviews, issues, and team feedback
190+ supported models (cloud and local)
Open-source Python library for production deployment
Source-available desktop app
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
