Hi! 👋 This is my daily learning log. In today's world, learning often happens through conversations with AI tools like ChatGPT, Claude, and Perplexity. I'm structuring these learnings into tutorials and diagrams to make them more insightful and reusable.
I think keeping complete html pages as one tutorial will give lot of freedom. Markdown files, also good, for each tutorial. But html will bring lot of interactivity and innovation while leaning any concept. When AI is generaing what we ask, learning becomes more important.
- Tutorials - Structured guides from my AI learning sessions
- Diagrams - Visual explanations of complex concepts
- Principles Reference - Reusable checklist and templates for writing new articles (
tutorials/principles/index.md)
- Article Writing Principles (Reference) - Concise checklist for drafting
- HTML Tags: Code to Reality - HTML elements and visual layouts
- Model Context Protocol - LLM interaction patterns
- AI-Based Developer Workflows
- Latest AI Developments in Software Engineering
- Relearning Software Concepts with AI
- Either while Teaching Programming to my Kids
- Or General Revisiting Core Concepts
- Browse tutorials in the
tutorials/directory - View diagrams directly on GitHub
- Use these examples in your own learning journey
Found these helpful? Feel free to contribute! See guidelines for details.
MIT License - see LICENSE file.
⭐ Star this repository if you find it useful! ⭐