AI Chapter #31
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AI Chapter #31
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Co-authored-by: Rosio <[email protected]>
Co-authored-by: Rosio <[email protected]>
Co-authored-by: Rosio <[email protected]>
Co-authored-by: Rosio <[email protected]>
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Chapter 6 (Developing with AI): - Add Exercise 1: Extending image viewer with editing capabilities - Include detailed prompt engineering guidance and examples - Provide two demonstration paths: Cursor AI (IDE) and Claude Code (CLI) - Add debugging workflows for common issues - Include reflection section and challenge extensions Chapter 7 (Independent Work - NEW): - Create new chapter for self-directed exploration time (120 min) - Provide three learning paths: Build from Scratch, Contribute, Explore - Include three tested example projects: * Confetti celebration button (beginner, frontend) * Custom theme extension (beginner, frontend, creative) * CPU monitor widget (intermediate, full-stack) - Add curated list of 18+ extensions for contributions - Include 15+ additional project ideas organized by difficulty - Provide contribution workflow and best practices - Apply Diataxis principles for exploratory learning
…sources - Replace Gitter/Discord reference with Jupyter Zulip chat for project discussions - Add a tip section highlighting the presence of core developers at JupyterCon 2025, encouraging direct interaction and feedback - Update community contribution suggestions to include Zulip chat, Discourse forum, and community calls for better support and collaboration
… workflow - Show the power of single-prompt development with complete image editing example - Highlight hidden decisions made without user input (architecture, UI/UX, technical) - Warn about 'Product Manager Trap' of letting AI make all decisions - Provide optional hands-on demo with git rollback instructions - Transition to structured iterative approach for production code
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mfisher87
reviewed
Oct 27, 2025
Co-authored-by: Matt Fisher <[email protected]>
Co-authored-by: Matt Fisher <[email protected]>
Co-authored-by: Matt Fisher <[email protected]>
Co-authored-by: Matt Fisher <[email protected]>
mfisher87
reviewed
Oct 30, 2025
RRosio
approved these changes
Oct 30, 2025
Co-authored-by: Matt Fisher <[email protected]>
- Spell out abbreviations: 235B (billion) parameters, 262K (thousand) tokens - Add practical hardware context: 'runs on consumer hardware (laptops with 16GB+ RAM)' - Link to LLM token glossary term to avoid confusion with JupyterLab tokens - Make Cons section more explicit about laptop requirements
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