Learn More

Want to keep going after the AI Builder Series? This is a collection of places to learn more about the tools and ideas we used. You don’t need any of these to finish the series — they’re here for when you’re curious and want to dig deeper.

Lansing Techster says: Pick one link that sounds interesting and try it this week. You don’t have to read everything — momentum over perfection!

Prompting & Talking to AI

Getting better at asking AI for what you want. These guides change quite frequently, and sometimes the URL changes as well, so if you find a broken link, try searching for the title or the website to find the new location.

Git & GitHub (Save Points + Teamwork)

Version control is the “save point” system from Workshops 3 and 4.

  • GitHub Skills — free, hands-on mini-courses you do right inside GitHub (start with “Introduction to GitHub”)
    • GitHub Pages Skill — shows more of the workflow for publishing a website, like you did with the quiz app, but using Jekyll this time
  • Learn Git Branching — interactive puzzles for branches, merging, and rolling back
  • GitHub Docs — Git basics — the official reference for the commands we used (init, add, commit, branch, pull request)
  • Git cheat sheet (PDF) — a one-page printout of the most common commands
  • W3 Schools — Git tutorial — a beginner-friendly introduction to Git concepts and commands (many other tutorials on W3 Schools too)

AI Coding Tools (Agent Harnesses)

We used GitHub Copilot, but there are many tools that let AI help you write code. Each one is a different “harness” around the same kind of AI. For each of these, you can find either a command-line tool or an extension for VS Code or other IDEs.

  • GitHub Copilot — what we used in class (free for verified students through GitHub Education)
  • Claude Code — the tool the instructor demoed; runs in a terminal and can edit whole projects
  • Google Gemini CLI — a free, open-source AI assistant for the terminal
  • OpenAI Codex — This is a coding focused model from OpenAI, the same company that makes ChatGPT.
  • OpenCode AI — a tool that can work with multiple AI models, including free ones like Claude, OpenAI’s GPT, Google’s Gemini, and more.

    Each tool feels a little different, but the skills you learned — clear prompts, one change at a time, save points, testing — work in all of them.

MCP & Playwright (Letting AI See Your App)

MCP (Model Context Protocol) is the system that lets AI tools use extra abilities, like the Playwright browser we used to let AI see the quiz app.

Note that we used Playwright both in and out of the MCP system. You can write Playwright scripts yourself to automate testing or even building parts of your app, and that’s a great next step if you liked using it.

Web Development (HTML, CSS, JavaScript)

The quiz app is built with the three core web languages.

Going Further

  • GitHub Pages — how your quiz app gets published live on the web (you already used this!)
  • GitHub Codespaces — the cloud dev environment from the series
  • The Odin Project — a free, complete path from beginner to building real web apps

Links go to outside websites that the Lansing Tech Studio doesn’t control. If a link is broken or out of date, let an instructor know.