Next Steps After Team Up

Practice at Home

  • Start your own project: Apply the full toolkit to something you want to build
  • Contribute to a teammate’s project: Fork their repo, make an improvement, and send a pull request
  • Try Claude Code: A different AI coding tool that works in the terminal
  • Explore Godot MCP: If you’re interested in game development, the Godot MCP server lets AI interact with the Godot game engine

The Full Toolkit

Here’s everything you learned across the series:

  1. Prompt Power-Ups: Write clear prompts with role, context, task, constraints, and examples. Evaluate output. Iterate. Save system prompts.
  2. One Thing at a Time: Separate data, display, logic, and styling. Change one piece at a time. Test after each change.
  3. Save Points: Commit before changing. Write test cases. Follow the save-change-test loop. Roll back when needed.
  4. Team Up: Branch for features. Open pull requests. Review code. Merge and resolve conflicts. Test the combined result.

Explore More (If Curious)

  • Learn about GitHub Issues for tracking bugs and feature requests
  • Try GitHub Actions to automatically run tests when you push code
  • Explore open source projects on GitHub and read their pull requests
  • Learn about continuous integration (CI) — automated testing for teams

Keep It Safe and Fun

  • Every project starts with one prompt and one commit
  • The best code is code that your team can understand and trust
  • Building together is harder than building alone — and worth it
  • Remember: AI is a tool, not a replacement for thinking