hy-rule-genai

HYRULE = Helsingin Yliopisto Reaktor Use LLMs Effectively :)

GenAI training for developers, in collaboration with University of Helsinki.

Below is a generic agenda for the onboarding. Your actual omboarding agenda will differ and be adjusted to your needs. Most likely there will be a slides presentation for your group's needs. Each part contains its own instructions.md file which you should follow.

Proposed Agenda

AI Tools for Developers - Hands-on Training Agenda (5 Hours)

Introduction (30 mins)

• Welcome and introductions
• Devs say who they are, how much dev experience they have, and how much experience they have with AI tools
• Ask devs what they want to get from the session
• Rundown of the agenda
• People download GitHub repos

Part 1: ChatGPT for Developers (40 mins)

• Introduction to ChatGPT (10 mins)
• Examples of code prompts done in ChatGPT’s UI (10 mins)
• Hands-on exercises (20 mins)
  • Generating code snippets
  • Debugging assistance
  • Writing technical documentation and comments

Part 2: Claude Sonnet for Developers (40 mins)

• Introduction to Claude (5 mins)
• Examples of code prompts done in Claude's UI (5 mins)
• Hands-on exercises (20 mins)
  • Similar to ChatGPT exercises
  • Compare ChatGPT and Claude performance
• Q&A on using ChatGPT and Claude directly in their UI (10 mins)
• Break (20 mins)

Part 3: GitHub Copilot (40 mins)

• Downloading GitHub Copilot extension in VSCode (5 mins)
• Introduction to GitHub Copilot (10 mins)
  • Autocompletion
  • Accepting/rejecting generated code
  • Inline Chat and Chat View
  • Copilot in menus and UI
• Hands-on exercises (20 mins)
  • To-Do app
• Q&A and Discussion (5 mins)
• Break (20 mins)

Part 4: Cursor (40 mins)

• Downloading Cursor (5 mins)
• Introduction to Cursor (10 mins)
  • Overview of Cursor’s capabilities for developers
  • Autocompletion
  • Inline chat
  • Composer/Agents
  • .cursorrules file
• Hands-on exercise (20 mins)
  • Calculator app
  • Similar to GitHub Copilot
• Q&A and Discussion (5 mins)
• Break (20 mins)

Part 5: Final Challenge (40 mins)

• 3 options to choose from
  • Refactor/Fix an existing project (provided)
  • Create a simple app from scratch (requirements provided)
  • Use AI on a personal project
• Participants choose one of the options and 1+ AI tools presented
• Challenge: can only use AI tools to meet requirements. Must struggle through prompting until AI gets it right.

Wrap-up and Closing (30 mins)

• Share final challenge outcomes with the group/instructor
• Key takeaways