Why Claude Code?
Claude Code isn't autocomplete. It's an AI that reads your entire codebase, understands your patterns, and ships production code. I've used it to build this site, maintain open-source projects, and train dozens of engineering teams.
Most teams use 10% of what Claude Code can do. This workshop unlocks the rest.
What Your Team Will Learn
- CLAUDE.md mastery — Set up project context that makes AI output match your patterns
- Context engineering — The three layers: project, task, and feedback context
- PRP methodology — Write specs that AI can actually execute
- Custom commands — Build reusable workflows for your team's patterns
- Multi-agent orchestration — Run parallel agents on feature work
- Security & data handling — Keep sensitive code safe
Who This Is For
- Teams already using Claude Code who want to go deeper
- Teams evaluating Claude Code as their primary AI coding tool
- Engineering leads building AI adoption strategy
Frequently Asked Questions
What is Claude Code?
Claude Code is Anthropic's agentic coding tool that runs in your terminal. It can read files across your codebase, execute shell commands, edit multiple files, run tests, and commit changes—all autonomously within guardrails you set.
What makes Claude Code different from other AI coding tools?
Claude Code is terminal-native and agentic by default. It works with your entire project context through CLAUDE.md files, can run multiple instances in parallel using git worktrees, and executes complete tasks rather than just suggesting code snippets. The skills transfer to other agentic tools—the thinking patterns matter more than the specific tool.
What will my team learn in this workshop?
Teams learn to set up CLAUDE.md for consistent project context, write specs using the PRP (Product Requirements Prompt) framework, build custom slash commands for repetitive workflows, run parallel agents on feature work, and implement verification patterns that catch errors before they ship.
What is context engineering?
Context engineering is the skill of providing AI with the right information at the right time. In Claude Code, this means structuring your CLAUDE.md files, writing clear task specifications, and building feedback loops. It's the difference between AI that guesses and AI that follows your patterns.
How is this different from the general AI Coding Workshop?
The general AI Coding Workshop covers context engineering principles across tools. This workshop goes deep on Claude Code specifically—advanced CLAUDE.md patterns, custom commands, MCP integrations, and multi-agent orchestration. Take this if your team is committed to Claude Code.
Do team members need prior Claude Code experience?
No. We cover everything from installation and initial setup to advanced agentic patterns. Engineers with prior AI coding experience will move faster, but we don't assume any specific tool knowledge.
What do teams actually build during the workshop?
By the end of the workshop, your team will have: a CLAUDE.md file tailored to your codebase, at least two custom slash commands for your common workflows, PRP templates for your typical tasks, and hands-on experience running parallel agents. These are real deliverables they use Monday morning.
How many people can attend?
The workshop works best with 5-15 engineers. Small enough for hands-on attention, large enough for team discussion. Larger groups are possible but shift toward more demonstration and less individual coaching.