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Designing systems that prompt AI agents instead of prompting them yourself — automations, worktrees, skills, MCP connectors, subagents, and the state file that makes loops durable.
A complete learning path from absolute beginner to production-ready DevOps professional. Start with Linux fundamentals, progress through containers and Kubernetes, add observability and automation, and finish with AI infrastructure. All open-source, vendor-neutral, with mapped certifications and production-ready stacks.