Learning path

All guide material

170 lessons · 34 levels

Level 1Getting started with Claude Code5 lessons
Level 2Safe project start5 lessons
Level 3Engineering task definition5 lessons
Level 4Acceptance criteria and verification5 lessons
Level 5The operational context model5 lessons
Level 6Long tasks and recovery5 lessons
Level 7Codebase discovery5 lessons
Level 8Integrations and documentation5 lessons
Level 9Workflow extensions5 lessons
Level 10Plugins and team workflows5 lessons
Level 11Agents and subagents5 lessons
Level 12Agent tools and isolation5 lessons
Level 13MCP and external integrations5 lessons
Level 14Hooks and tool workflows5 lessons
Level 15Multi-agent workflow5 lessons
Level 16Parallel workstreams5 lessons
Level 17Issue-to-PR workflow5 lessons
Level 18Controlled implementation and review5 lessons
Level 19Testing and verification5 lessons
Level 20Static checks and safe refactoring5 lessons
Level 21DevOps with Claude Code5 lessons
Level 22Quality gates and release automation5 lessons
Level 23Production readiness and risk5 lessons
Level 24Team traceability and AI engineering culture5 lessons
Level 25Capstone project and demo5 lessons
Level 26Legacy discovery and risk mapping5 lessons
Level 27Legacy modernization5 lessons
Level 28Migration discovery and compatibility5 lessons
Level 29Migration execution and validation5 lessons
Level 30AI-native MVP5 lessons
Level 31MVP execution and capstone handoff5 lessons
Level 32Capstone defense and portfolio packaging5 lessons
Level 33Career launch and AI-native proof of work5 lessons
Level 34AI-assisted job search: roles, tailoring, tracking, and interview preparation5 lessons
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