Agentic Platform Engineering: How to Build an Agent Infrastructure That Scales From Your Laptop to the Enterprise

A proposed architectural pattern called 'Agentic Platform Engineering' treats AI agent configuration as versioned infrastructure rather than ad-hoc setup. The system uses three repositories: agent-library (tool-agnostic instructions, skills, and rules), agent-setup (tool-specific deployment via symlinks), and resource-catalog (Backstage-format inventory). Layered Markdown files are scoped to filesystem directories so agents load only relevant context, improving token efficiency. A library.yaml manifest drives symlink-based deployment, enabling full environment rebuild in under 5 minutes. The pattern is designed to scale from a single developer to enterprise multi-agent orchestration, with MCP integration and centralized distribution on the roadmap.