Coding and Infrastructure with AI

Special 2 night event - Registration includes both sessions -- Tues Feb 3rd and Wed Feb 4th from 6 to 9 pm

AI is rapidly changing how software is written and operated, but using it effectively requires more than just prompting. In this class, Alex will demonstrate how to use Claude CODE to build and run interactive web applications through a tight, developer-controlled feedback loop.

Rather than pasting code into chat windows, participants will learn how to connect Claude directly to a local development environment. This enables Claude to read project context, reason about code and configuration, suggest changes, and help implement features in a way that mirrors real-world collaborative development.

The class goes beyond application code and into infrastructure. Attendees will see how AI can assist with containerizing applications using Docker, setting up basic networking between services, and reasoning about operational concerns such as logging, monitoring, and reliability. These workflows reflect how modern applications are actually built and maintained, not just how they are written.

The emphasis is on workflow over hype: understanding what Claude CODE is, how it works, and how to integrate it into an existing development toolchain. Participants will follow along as Alex builds, containers, and extends a simple interactive web application, demonstrating how AI can assist with architecture decisions, debugging, deployment setup, and ongoing system awareness—without surrendering control of the codebase or infrastructure.

• What Model Context Protocol (MCP) is and why it matters
• Setting up Claude CODE in a local development environment
• Connecting AI to local files, configuration, and project context
• Using AI to write, refactor, and extend application code safely
• Containerizing applications with Docker
• Basic networking concepts for multi-service applications
• Introduction to monitoring, logging, and SRE-style thinking
• Practical limits, risks, and best practices when using AI for code and infrastructure

• Basic familiarity with programming concepts
• Comfort using a command line (Linux preferred)

• Laptop
• Linux environment (native or VM recommended)
• Recommended - if possible, have Claude Code installed and running

 Skill Level

Beginner to Intermediate

• Programming
• AI-Assisted Development
• Infrastructure & DevOps
• Containers & Docker
• Web Development
• Hands-On Workshop

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