Documentation
Everything you need to know about using xSwarm to lead your AI development team.
Getting Started
Core Concepts
Core Concepts
Understanding the fundamental concepts behind xSwarm's AI team leadership model
The Development Framework
How an idea becomes assured code: the meta-harness that wraps agent work in verification, and why each part of it exists
AI Agent Types
Meet your AI development team - specialized agents that work under your leadership
Coordination & Communication
How agents, the coordination layer, and you stay in sync — blockers, requests, and what the fleet view actually tells you.
Three Environments, One Promotion Path
Dev, staging and production, and the single path between them: you cannot deploy what you have not merged, or promote what you have not tested
What xSwarm Is
A pipeline that takes an idea to production without a human in the QA loop — the concept, the purpose, and the principles it runs on.
Guides
Workflow Patterns
Common patterns and strategies for effectively leading your AI development team
Best Practices
Guidelines and recommendations for getting the most out of your AI development team
The xSwarm Work Harness
How work becomes shipped code here — the stages, the rules that do not bend, the commands, the hosts, and the traps that have already cost real time.
Daily Workflow
A working rhythm for leading a fleet of agents: starting the day, handing off work, and checking back in.
The xSwarm Style Guide
The single source for colour and material, what "slightly skeuomorphic" means in tokens, and the two rules an audit enforces so this stays true.
Development Guardrails
The full development discipline — TDD, standards, QA, refactor, audits — and the machinery that enforces it without costing the developer time.
Architecture Decisions
Key architectural decisions for xSwarm dashboard and security infrastructure