Level up the way
you code with AI
Master Claude Code from zero to production. Learn agentic engineering, prompt patterns, and how top engineers ship 10x faster with AI.
What you'll learn
The patterns behind
AI-native engineering
CLAUDE.md as a Living Index
Your CLAUDE.md isn't a wall of text — it's an index that loads the right docs at runtime. The agent requests what it needs, when it needs it.
Feedback Loops
Change → test → measure → iterate. The agent loops autonomously until it converges on the right solution.
Spec → Plan → Tests → Build
Write the spec first, plan the implementation, generate tests, then build. Agentic TDD that ships features right the first time.
Subagent Code Reviews
Specialized subagents that each review for one thing — types, security, performance, style.
The Harness, Not the Prompt
The prompt is just a seed. The real leverage is the harness — hooks, skills, rules, and integrations.
Everything Piped In
Simulators, logs, issues, metrics — all piped directly into the agent. No more copy-pasting context into the chat.
Curriculum
7 modules. Zero fluff.
What Is Agentic Engineering
The paradigm shift from writing code to directing AI agents. What changes, what stays, and why it matters.
How Claude Code Thinks
The agentic loop under the hood. Context windows, tool use, planning, and how Claude reasons about your codebase.
Talking to the Agent
Prompt engineering for code. Constraint-based prompting, few-shot patterns, and getting production-quality output consistently.
Core Features
CLAUDE.md, hooks, skills, rules, subagents, MCP servers — the full toolkit and when to use each one.
Building from Scratch
Greenfield projects with Claude Code. Architecture decisions, scaffolding, and shipping a complete app start to finish.
Working on Existing Projects
Navigating legacy codebases, safe refactoring, bug fixing, and adding features to established systems.
Advanced Patterns
Multi-agent orchestration, CI/CD integration, custom tooling, and the workflows used by top AI-native teams.