What problem does it solve? It closes the gap between code that runs locally and software that survives production by enforcing verification, security, testing, and operational discipline across every engineering task. ## Core Features & Use Cases - Full-lifecycle engineering commands: /research, /plan, /build, /fix, /debug, /review, /deploy, and /operate cover the entire software lifecycle from investigation to production runbooks. - AI/ML rigor: Covers LLM/agentic systems (prompt injection defense, eval gates, cost-effective model selection) and trained models (data leakage checks, subgroup evaluation, drift monitoring, rollback). - Verified frontend delivery: Builds UI in slices with screenshots at phone, tablet, and desktop widths, accessibility checks, and end-to-end tests before handoff. - Use Case: Ask it to build a new checkout screen: it inspects the repo, plans the slice, implements frontend and backend together, screenshots the result at real sizes, runs tests, and reports exactly what was verified. ## Quick Start Ask the agent to build, fix, debug, review, or deploy a specific feature or issue in your repository, for example by saying "build the settings screen with tests and screenshots".