AI Learning

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⚡ 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. 1

    Prompting 101: The Anatomy of a Production-Grade Prompt

    Anthropic's Applied AI team shows how to evolve a one-line prompt into a reliable, production-quality prompt — structure, XML tags, examples, giving the model an out, and prefills.

    beginner · ~24 min

  2. 2

    Mastering Claude Code: The Agentic Coding Workflow

    How Claude Code works under the hood, the workflows Anthropic's own engineers use, and how to extend it with memory files, slash commands and headless automation.

    intermediate · ~30 min

  3. 3

    Hooks in Claude Code: Deterministic Control Over Every Action

    Use Claude Code's lifecycle hooks to run formatters, block dangerous operations, and enforce team conventions — every time, without relying on Claude to remember.

    beginner · ~10 min

  4. 4

    Managing Context in Claude Code

    How Claude Code's context window works, when to compact vs clear, and practical strategies for keeping sessions lean and productive.

    beginner · ~10 min

  5. 5

    The Prompting Playbook

    Two battle-tested playbooks for prompting work: maintaining and migrating existing prompts, and building agentic loops from scratch using evals to drive every decision.

    intermediate · ~35 min

  6. 6

    The Thinking Lever: Controlling Claude's Effort

    Master effort levels and adaptive thinking to get the best intelligence-speed-cost trade-off from Claude on any task.

    intermediate · ~20 min

  7. 7

    Claude Code Best Practices: The Field Guide

    Cal Rueb's field-tested playbook for getting consistently great results from Claude Code: context curation, permission strategy, planning, parallel sessions and knowing when to course-correct.

    intermediate · ~25 min

  8. 8

    How We Claude Code: HTML Specs, Agent Interviews, and Verification-Native Artifacts

    Anthropic's Applied AI team shares three practices that get more out of longer-running agents: letting Claude interview you instead of writing specs yourself, using HTML over Markdown for richer specs, and embedding verification directly into your artifacts so agents can validate their own work.

    intermediate · ~28 min

  9. 9

    A Year of Claude Code: Auto Mode, Loops, and What Actually Surprised Us

    Boris Cherny and Cat Wu reflect on Claude Code's first year — what changed about verification, why auto mode beat plan mode, how routines became the killer feature, and where engineering orgs are heading.

    intermediate · ~18 min

  10. 10

    Running an AI-Native Engineering Org: What Changes When Coding Isn't the Bottleneck

    Fiona Fung, Head of Engineering for Claude Code, shares five lessons from rewriting her team's norms when AI changed where the bottlenecks are — from planning and code review to hiring, onboarding, and org shape.

    intermediate · ~27 min

  11. 11

    Vibe Coding in Prod — Responsibly

    Erik Schluntz merged a 22,000-line largely Claude-written change into a production RL codebase. This lesson extracts the discipline that makes that safe: you stop being the code writer and become the system designer and verifier.

    intermediate · ~20 min

  12. 12

    Routines, CI Autofix, and the Advisor Strategy

    The biggest Claude Code platform updates from London 2026: routines that trigger on schedules and webhooks, CI that fixes its own failures, the advisor pattern for frontier-quality at lower cost, and self-hosted agent sandboxes.

    intermediate · ~46 min

  13. 13

    Fable 5 and the AI-Native Company

    What Fable 5's capabilities unlock, how dynamic workflows reshape engineering at scale, and what it looks like when a company runs on an AI substrate.

    intermediate · ~30 min

Start with lesson 1 →