ironman

What problem does it solve?

Consolidates architecture, development, observability, deployment, and evolution workflows into a single AI-driven skill so teams and agents avoid context switching, maintain engineering standards, and reduce manual coordination overhead.

Core Features & Use Cases

• End-to-end Product Pipeline: PRD discovery, UX/flow design, task breakdown, implementation, QA, and secure deployment with mandatory artefacts and quality gates.
• Autonomy Engine: Self-Planning, Architecture Evolution, Failure-Driven Development (GEP), Autonomous Product Loop, and a Self-Optimizing Engine that generates multi-strategy implementations and scores results.
• Governance & Safety: Enforces Engineering Supreme Law constraints (maintainability, transaction boundaries, error taxonomy, security, observability) and records lessons to MemPalace and GEP assets.
• Platform Capabilities: Opinions and templates for Docker/Kubernetes, CI/CD, observability (OTel/Tempo/Loki), event-driven architectures (Kafka/NATS), network intelligence (gNMI, NetFlow), and AI/ML Ops.
• Use Case: From a one-sentence idea, run PRD discovery, generate an implementation_plan.md, implement service code following laws and tests, run QA, and prepare a production deploy with observability and rollback plan.

Quick Start

Start with PRD discovery by running the PRD Agent to produce a living PRD and then request an implementation_plan for the top-priority feature.