Claude Code Mastery

Go from "AI autocomplete user" to "AI agent architect" in one livestream.

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The Problem

You use Cursor. Or Copilot. Or both. You've gotten faster at writing code.

But you're still just using autocomplete with extra steps.

• Your .cursorrules file is ignored half the time
• Context resets every session
• You're prompting, not architecting
• AI helps you code, but doesn't know YOUR stack

You're using AI. You're not building with AI.

This course fixes that.

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The Transformation

CURSOR/COPILOT                         CLAUDE CODE
───────────────────────────────────────────────────────────────────
Single-file autocomplete          →   Multi-file agents with memory
"Chat in sidebar"                 →   Skills that encode YOUR expertise
.cursorrules (ignored)            →   CLAUDE.md (sacred architecture)
Generic AI assistant              →   Domain expert that knows your stack
Every session starts fresh        →   Compound knowledge across sessions
───────────────────────────────────────────────────────────────────

Duration: 3.5 hour livestream (built in public) Outcome: Your first Claude Code skill shipped, production setup complete

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What You'll Build

Every segment ends with something you built yourself.

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Who This Is For

This course is for you if:

• You use Cursor, Copilot, or similar AI coding tools
• You want to go beyond autocomplete to building agents
• You have domain expertise worth encoding (frameworks, patterns, processes)
• You want your team to adopt AI-assisted development systematically

This course is NOT for you if:

• You've never used AI coding tools (start with basics first)
• You just want faster autocomplete (Cursor is fine for that)
• You don't have a specific domain or codebase to apply this to

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Why This Works

1. Live Build, Not Lecture

I build everything live during the stream. You follow along. No slides-only segments.

2. Real Patterns from Production

Every pattern comes from my actual Claude Code setup: 17 custom skills, multiple plugins, LangSmith traces showing real workflows.

3. Encode YOUR Expertise

By the end, you've encoded your own framework/process as a Claude Code skill. Not a toy example—your actual workflow.

4. Team-Ready

The final segment is a complete team adoption playbook. This isn't just personal productivity—it's how you roll out to your org.

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The Evidence

This course uses exported LangSmith traces to show exactly how Claude Code works:

Not conceptual diagrams. Actual traces from production use.

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Quick Start

Before the Livestream

# 1. Install Claude Code
# Follow: https://claude.ai/code

# 2. Clone this repo
git clone https://github.com/ChaiWithJai/claude-code-mastery.git
cd claude-code-mastery

# 3. Complete pre-setup
cat SETUP.md

During the Livestream

Follow along with each segment. At pause points, build your own version.

After the Livestream

Complete any exercises you missed. Use the reference guides for lookup.

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What Success Looks Like

By End of Livestream

• CLAUDE.md documenting your project architecture
• One working skill with SKILL.md
• One command added to your skill
• One domain expertise skill draft
• Team adoption plan outline

Within 30 Days

• Full production setup verified
• LangSmith tracing active
• At least 3 custom skills in daily use
• Team rollout initiated

Within 90 Days

• Your team uses Claude Code systematically
• Custom skills for your domain
• Measurable productivity g

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