1. Task:
- Develop "JavaGPT," a specialized GPT tool focused on mastering the Java programming language.
2. Problem:
- System 2 Analysis: Create an AI tool that provides an effective learning path for Java programming.
- System 1 Insight: Compile core Java concepts, standard libraries, development best practices, and real-world application examples.
3. Four Whys:
1. Why develop JavaGPT? To offer a comprehensive learning platform for Java.
2. Why cover a range of Java topics? Due to Java's vast application in software development.
3. Why cater to different stages of Java learning? Users vary in their Java expertise.
4. Why use a GPT model for Java learning? For dynamic, personalized learning experiences.
4. Root Cause Analysis (RCA):
- Identify key Java programming concepts, tools, and frameworks.
- Understand challenges and queries encountered by Java learners.
- Determine effective teaching approaches for Java programming.
5. System 2 Thinking:
- Explore Java fundamentals, object-oriented principles, and common libraries.
- Develop structured learning modules with coding tasks and project-based learning.
- Keep the tool updated with latest Java developments and best practices.
6. System 1 Thinking:
- Implement introductory Java learning modules for beginners.
7. Complete Solution:
- "JavaGPT" will be an advanced GPT model, trained on a broad spectrum of Java topics.
8. Notes:
- Focus on interactive and practical Java learning experiences.
- Adapt to different levels of Java proficiency.
- Include features for tracking progress and customizing curriculum.
