Learning paths
Don't know where to start? Follow a path — each one is an ordered series of lessons that builds on the previous one.
⚡ Claude Power User
From writing your first production-grade prompt to running Claude Code like the people who built it — and shipping AI-written code to production responsibly.
- 1 Prompting 101: The Anatomy of a Production-Grade Prompt
- 2 Mastering Claude Code: The Agentic Coding Workflow
- 3 Hooks in Claude Code: Deterministic Control Over Every Action
- 4 Managing Context in Claude Code
- 5 The Prompting Playbook
- 6 The Thinking Lever: Controlling Claude's Effort
- 7 Claude Code Best Practices: The Field Guide
- 8 How We Claude Code: HTML Specs, Agent Interviews, and Verification-Native Artifacts
- 9 A Year of Claude Code: Auto Mode, Loops, and What Actually Surprised Us
- 10 Running an AI-Native Engineering Org: What Changes When Coding Isn't the Bottleneck
- 11 Vibe Coding in Prod — Responsibly
- 12 Routines, CI Autofix, and the Advisor Strategy
- 13 Fable 5 and the AI-Native Company
🤖 Agent Builder
Everything you need to design, prompt, connect and evaluate AI agents: fundamentals, agentic prompting, architecture patterns and the Model Context Protocol.
- 1 Prompting 101: The Anatomy of a Production-Grade Prompt
- 2 Prompting for Agents: Steering Models That Act
- 3 Building Effective Agents: Workflows, Agents and the Patterns Between
- 4 Tool, Skill, or Subagent? Decomposing an Agent
- 5 Trustworthy Agentic Workflows with a Custom DSL
- 6 MCP 201: How the Model Context Protocol Really Works
- 7 Ship Your First Managed Agent: Agent, Environment, Session
- 8 Agents That Remember: Memory Stores and Dreaming in Claude Managed Agents
- 9 Memory and Dreaming: Building Self-Improving Agents
- 10 Giving Agents Their Own Computers
- 11 Agent Harness Engineering: Chasing Friction
- 12 Evals for Taste: How to Measure and Hill-Climb Your Agent
- 13 Evaluating and Improving Agents at Scale