Writing Guide for Claude Code Technical Deep Dive
Overall Principles
- Lead with Implementation Details - Start each section with the most interesting/novel technical detail, then provide context
- Code-First Explanations - Show actual or conceptual code snippets before explaining what they do
- Visual Information Hierarchy - Use tables, diagrams, and formatting to make scanning efficient
- Inference Transparency - Use phrases like "appears to", "likely implements", "suggests" when describing decompiled behavior
- Cross-Reference Liberally - Link between sections when concepts relate, building a web of understanding
Section-Specific Guidelines
1. Dependencies
Approach: Dependency graph visualization first, then drill into interesting clusters
- Start with a dependency network diagram (mermaid) showing relationships between major subsystems
- Group by architectural purpose, not just category
- Highlight novel uses (e.g.,
yoga-layout-prebuiltfor CLI layout) - Include version ranges where significant
- Add "Why This Matters" callouts for non-obvious choices
Format Ideas:
Text
┌─ Core Loop ─────────────┐
│ ink + react → UI │
│ ↓ │
│ yoga-layout → Layout │
└────────────────────────┘
2. Data Structures
Approach: Show state transitions and data flow through structures
- Begin with a state machine diagram showing message lifecycle
- Use TypeScript interfaces with inline comments explaining design decisions
- Include "mutation points" - where and why data changes
- Add size/performance annotations where relevant
- Merge in the bidirectional streaming details from Section 8
Format Ideas:
- Side-by-side comparisons of internal vs API structures
- Transformation pipeline diagrams
- Memory layout visualizations for performance-critical structures
3. Control Flow
Approach: Interactive flow visualization with code annotations
- Start with the most complex flow (parallel tool execution)
- Use swimlane diagrams for concurrent operations
- Inline the actual generator function signatures
- Add timing annotations
- Integrate the main loop (
tt) structure details from Section 8
Format Ideas:
TSX
// Actual control flow annotation
async function* tt(...) {
// ┌─ PHASE 1: Context Assembly [~50ms]
// ├─ PHASE 2: LLM Stream [~2-5s]
// └─ PHASE 3: Tool Execution [varies]
}
4. Tools
Approach: Implementation-first, then usage patterns
- Start with the tool execution pipeline code
- Show the actual Zod schema → JSON Schema conversion
- Include performance characteristics table
- Add decision tree for tool selection
- Merge in the shell parser specifics from Section 8
Format Ideas:
- Tool capability matrix (what each tool can/cannot do)
- Execution timeline visualization
- Side-by-side tool comparison for similar operations
5. Architecture
Approach: Build up from primitives to system
- Start with the event loop and message pump
- Show actual module boundaries and interfaces
- Include memory/resource management strategies
- Add scaling considerations
- Integrate ANR detection mechanism from Section 8
Format Ideas:
- Layered architecture diagram with data flow volumes
- Module dependency graph with coupling metrics
- Resource allocation visualization
6. Novel Components
Approach: Deep dive into implementation details
- Start with the actual algorithm/code
- Show performance comparisons with alternatives
- Include edge case handling
- Add extension points for customization
- Merge in parallelMap coordination from Section 8
Format Ideas:
Text
Algorithm: Streaming JSON Parser
================================
Input: {"very": "lar█ (stream ends)
State: Stack=[OBJ, STRING] Depth=2
Action: Auto-close with }"}
Output: {"very": "lar"}
7. File Editing
Approach: Show the complete edit pipeline
- Start with the most complex case (MultiEdit with conflicts)
- Include validation flow diagram
- Show actual diff generation code
- Add rollback/recovery mechanisms
- Include permission system integration
Format Ideas:
- Edit conflict resolution flowchart
- Before/after file state visualization
- Validation pipeline diagram
Cross-Cutting Formatting Ideas
-
Performance Annotations
Text┌─ ReadTool ─────────────┐ │ Latency: ~10ms │ │ Memory: O(file_size) │ │ Concurrent: Yes │ └────────────────────────┘ -
Decision Points
TextIF response.stop_reason == "tool_use" ├─ YES → Execute Tools (parallel/sequential) └─ NO → Return to User -
Implementation Notes
TSX// IMPL NOTE: readFileState uses weak references // to allow GC of large file contents -
Inference Markers
Text🔍 Based on function naming and structure, this appears to implement...
Section Integration Strategy
- Move shell parser details into Tools section under BashTool
- Integrate ANR detection into Architecture's monitoring subsection
- Place streaming JSON parser in Novel Components
- Distribute parallelMap details between Control Flow and Architecture
- Embed guardrail configuration points throughout relevant sections
Quality Checklist for Each Section
- Starts with implementation detail, not introduction
- Includes actual or representative code
- Has at least one visualization
- Cross-references other sections
- Marks inferred vs observed behavior
- Provides actionable insights
- Includes performance/resource implications
- Has formatting variation and takes advantage of the tools available to markdown and mermaid