Lesson 2 + skeleton for the rest of the course

Author: ofriw

website/blog/2024-10-21-welcome.md

@@ -51,13 +51,11 @@ The entire course is open-source and free. Contribute lessons, suggest improveme
 
 ## Course Structure
 
-The course is organized into five modules:
+The course is organized into three progressive modules:
 
-1. **Fundamentals** - Understanding AI coding assistants
-2. **Prompting Techniques** - Effective communication with AI
-3. **Tools & Workflows** - Integration into your development process
-4. **Architecture & Design** - High-level system design with AI
-5. **Advanced Topics** - Security, performance, and specialized use cases
+1. **Understanding the Tools** - The paradigm shift, first principles, and how LLMs and agents work
+2. **Methodology** - Systematic approaches to prompting, grounding, and workflow design
+3. **Practical Techniques** - Production workflows for onboarding, planning, testing, reviewing, and debugging
 
 ## Getting Started
 

website/docs/CLAUDE.md

@@ -207,15 +207,15 @@ Each lesson should reference prerequisites when needed:
 ```markdown
 **Prerequisites:**
 
-- Module 1: Fundamentals (all lessons)
+- Completed [Understanding the Tools](../understanding-the-tools/index.md) (all lessons)
 - Understanding of REST API design
 ```
 
 ### Progressive Disclosure
 
 - Build on previous concepts
 - Reference earlier examples when relevant
-- Link to related lessons: `[See Lesson 2](../fundamentals/lesson-2-mental-models.md)`
+- Link to related lessons: `[See Lesson 2](../understanding-the-tools/lesson-2-understanding-agents.md)`
 
 ## Quality Checklist