Continue & Branches

Root
├─ User: "Create a sorting function"
│  ├─ AI: [Bubble sort implementation]
│  │  └─ User: "Make it faster"
│  │     └─ AI: [Optimized bubble sort]
│  │
│  └─ User (edited): "Create a sorting function with O(n log n)"
│     └─ AI: [Merge sort implementation]
│        ├─ User: "Add error handling"
│        │  └─ AI: [With error handling]
│        │
│        └─ User: "Show unit tests"
│           └─ AI: [With test examples]

You're 20 messages deep into optimizing an algorithm, but realize you 
should have explored a completely different approach. Click on message 5 
and start a new branch with the alternative approach.

Starting point: "Design a caching system"

Branch 1: Redis-based approach
Branch 2: In-memory cache approach  
Branch 3: CDN-based approach
Branch 4: Hybrid approach

Compare all four, then create a final branch synthesizing insights.

Root: "Create a user authentication system"

Branch A1: Basic email/password auth
  └─ Branch A2: Add password validation
     └─ Branch A3: Add rate limiting
        └─ Branch A4: Add 2FA support

Branch B1 (from root): OAuth-based auth
  └─ Branch B2: Add social login
     └─ Branch B3: Add JWT tokens

Compare A4 and B3, then create final Branch C combining best aspects.

Decision: Choose database for new project

Branch 1: PostgreSQL approach
- Pros/cons exploration
- Schema design
- Query patterns
- Scaling considerations

Branch 2: MongoDB approach  
- Pros/cons exploration
- Document design
- Query patterns
- Scaling considerations

Branch 3: Hybrid approach
- PostgreSQL for structured data
- MongoDB for flexible data
- Integration patterns

Compare all three branches → Make informed decision

Topic: Machine Learning

Root: "Introduce me to machine learning"

Branch 1: Supervised Learning
  ├─ 1.1: Classification
  │  ├─ 1.1.1: Decision Trees
  │  └─ 1.1.2: Neural Networks
  └─ 1.2: Regression
     └─ 1.2.1: Linear Regression

Branch 2: Unsupervised Learning
  ├─ 2.1: Clustering
  └─ 2.2: Dimensionality Reduction

Each branch becomes a learning path you can explore at your own pace.

Start: [Upload code file] "Review this code"

Main branch: General review with suggestions

Branch A (from message 3): "Focus on security vulnerabilities"
  └─ Detailed security analysis
     └─ "Show how to fix the SQL injection risk"
        └─ Fixed code with explanation

Branch B (from message 3): "Focus on performance optimization"
  └─ Performance analysis
     └─ "Show before/after benchmarks"
        └─ Optimized code with metrics

Result: Two specialized reviews, choose or combine insights.

Start: "Write a blog post about React hooks"

Branch 1: Technical deep-dive version
  └─ For experienced developers
  
Branch 2: Beginner-friendly version
  └─ For React newcomers
  
Branch 3: Tutorial format
  └─ Step-by-step with code examples

Edit Branch 2 further:
  └─ Branch 2.1: Add more examples
  └─ Branch 2.2: Simplify explanations
  └─ Branch 2.3: Add diagrams

Compare all, then choose Branch 2.2 as final.

Problem: "E-commerce site is slow"

Branch A: Frontend investigation
  ├─ A1: Bundle size analysis
  ├─ A2: Render performance
  └─ A3: Network requests

Branch B: Backend investigation
  ├─ B1: Database query optimization
  ├─ B2: API response times
  └─ B3: Server resource usage

Branch C: Infrastructure investigation
  ├─ C1: CDN configuration
  ├─ C2: Caching strategy
  └─ C3: Load balancing

Branch B1 finds the issue (N+1 queries). Continue from B1:
  └─ B1.1: Implement eager loading
     └─ B1.2: Add database indexes
        └─ B1.3: Verify performance improvement