Your engineers have AI tools. Most teams aren't using them consistently.
Moon Highway delivers live, hands-on workshops that turn scattered tool adoption into a shared standard your team can ship from right away.
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AI tool licenses don't deliver ROI on their own.
Engineering teams across every industry have access to Claude Code, Cursor, and Codex. The licenses are paid for. The promise is there. But adoption is inconsistent. Some engineers have 28 agents working in parallel. Others haven't moved past the chat box. Tokens are burning and nobody has a clear picture of what's actually working.
A Moon Highway workshop can help close the gap, get everyone on the same page, and formalize a plan for making the most of these tools moving forward.
Full-day, live, and hands-on.
Each workshop runs a full day on-site or remote. Pricing starts at $10,000 per day. Teams leave with working knowledge they can apply immediately.
Want to combine workshops or build a custom curriculum? Let's talk.
Developer Productivity with AI
Your engineers already have the tools. This day builds the habits, conventions, and shared workflow that make them actually useful at scale.
- Writing effective prompts for real codebases
- Cursor rules, Claude Code agent mode, and .claude/ config in practice
- AI-assisted refactoring and debugging in legacy code
- Code review with AI: what to trust, what to verify
- Every team leaves with a shared conventions doc
Building AI Agents
A full day of building. Teams scope, build, and ship a working agent connected to a real system.
- What makes a good agent vs. a prompt with extra steps
- Connecting agents to internal tools, APIs, and data sources via MCP
- Testing your agent before it embarrasses you in production
- Cost, latency, and knowing when to pull the plug
- Every team leaves with a working agent and a plan to maintain it
AI Enablement for Non-Engineers
A practical day for people who work alongside engineers building AI products and want to start contributing.
- What AI is actually doing under the hood
- Prompting for your actual job: writing, research, analysis, operations
- How to tell if an AI feature is working — and what to do when it isn't
- Where AI introduces risk and how your team should talk about it
- Leave with a personal AI workflow you can use the next morning
14 years training engineering teams to do their best work.
Eve Porcello and Alex Banks have trained engineers at Apple, Netflix, PayPal, Starbucks, and Amazon since 2012. They are the authors of O'Reilly's Learning React and Learning GraphQL and have created 40+ courses for LinkedIn Learning.
Moon Highway's AI curriculum covers Claude Code, Cursor, MCP, the Vercel AI SDK, agents, evals, and context engineering and can be customized to serve your specific team.
Book a workshop or ask a question.
Email hey@moonhighway.com or use the contact form. We'll get back to you within one business day.
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