Claude Code: 0 to 200kph
Claude Code: 0 to 200kph
Section titled “Claude Code: 0 to 200kph”For developers with AI coding experience who want Claude-specific mastery.
Who this is for
Section titled “Who this is for”You’ve used AI coding tools before — Copilot, Cursor, Aider, or similar. You know what a coding agent can do. What you need is the Claude-specific knowledge: how its context window works, how to manage it, how skills and subagents save you from context death, and how to build a workflow stack that makes you genuinely fast.
What this is NOT
Section titled “What this is NOT”- Not a “what is AI coding?” tutorial
- Not a theory course on LLMs
- Not a surface-level tour of slash commands
- Not beginner hand-holding
Each module starts with a “how it works” mental model (2-3 paragraphs, not a lecture), then goes deep on the Claude-specific techniques that separate casual users from power users.
The modules (12 modules)
Section titled “The modules (12 modules)”| # | Module | Duration | You Build |
|---|---|---|---|
| 1 | Install & First Contact | 20 min | Working install + agentic loop understanding |
| 2 | CLAUDE.md | 25 min | Committed CLAUDE.md + path-specific rules |
| 3 | Plan Mode & Thinking | 25 min | Plan-to-implementation workflow + thinking controls |
| 4 | Context Engineering | 30 min | Context management practice + model selection |
| 5 | Daily Workflows | 30 min | 7 workflow patterns on your real codebase |
| You’re productive now. Take a break or keep going. | |||
| 6 | Skills & Marketplace | 35 min | Custom skill + marketplace awareness |
| 7 | MCP & External Tools | 35 min | 2 MCP connections + CLI-vs-MCP judgment |
| 8 | Hooks & Beyond | 35 min | 2 hooks + end-to-end workflow + what’s next |
| 9 | Research & Docs | 35 min | Local reference docs + diamond research pattern |
| 10 | Don’t Trust, Verify | 30 min | Verification patterns that catch mistakes before they ship |
| 11 | Everything Everywhere All at Once | 40 min | Multi-agent workflow design using 8 production patterns |
| 12 | Fun with Adversarial Agents | 30 min | GAN-style adversarial code review with competing agents |
Total: ~6 hours
Prerequisites
Section titled “Prerequisites”- A real project codebase (not a tutorial project)
- Admin access to install software
- A Claude account with paid plan (free tier works but limits the context window)
- Git installed
- Prior experience with any AI coding tool
What this course skips (and where to find it)
Section titled “What this course skips (and where to find it)”| Topic | Where to go deeper |
|---|---|
| LLM theory (how transformers work, why hallucinations happen) | Playbook M01 |
| Formal prompt engineering (named techniques, research backing) | Playbook M02 |
| Security (prompt injection, OWASP LLM Top Ten) | Playbook M08 |
| AI-assisted code review and the Writer/Reviewer pattern | Playbook M09 |
| Agent Teams (coordinated multi-agent work) | Playbook M10 |
| Post-deployment monitoring with AI | Playbook M11 |
| CI/CD integration (headless mode, GitHub Actions) | Playbook M12 |
| Team adoption (permissions, cost management, onboarding) | Playbook M13 |
| Building custom MCP servers | Playbook M06 |
The full AI-Augmented Development Playbook covers all 14 modules across ~19 hours.