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Learning Paths

Pick one path. Each is a page: who, prerequisites, ordered modules with rationale, exercises on your own codebase, a capstone, and an expected outcome. Do not read the whole site linearly.

Choose a path

PathWhoOutcome
Senior EngineerICs shipping features with agents dailySpec → implement → verify loop you trust
CTOTechnical leaders setting org policyOperating model, gates, and rollout plan
Solo FounderFounders building product mostly aloneMVP shipped without architecture collapse
Engineering ManagerManagers of teams adopting agentsTeam norms, review load, quality bar
Staff EngineerStaff/principals owning system integrityArchitecture control under agent throughput
Multi-ToolTeams on Claude Code + Cursor/Codex/etc.One instruction surface across tools
Legacy ModernizationEngineers refactoring brownfield systemsSafe strangler / refactor with agents
Production HardeningTeams taking agent-built code to prodVerification, gates, and readiness
Multi-Agent MasteryLeads coordinating parallel agentsSplit, integrate, and recover without chaos

If you only have an afternoon: Start HereMental Models → your role path's first three modules.

A field manual for AI-native software engineering.