Static Code Analysis with Claude Code

Building Robust Analysis Pipelines for Modern Software Teams

Introduction

1. What You Will Learn
2. How to Use This Book
3. A Note on Assumptions
4. What This Book Is Not
5. Getting Started

Chapter 1: What Is Static Code Analysis and Why It Matters

1. Defining Static Code Analysis
2. From Linters to Program Analysis Engines
3. What Static Analysis Can and Cannot Detect
4. The Cost of Code Quality Debt
5. When Static Analysis Pays Off
6. How Claude Code Changes the Game

Chapter 2: The Anatomy of a Static Analysis Engine

1. Source Code as Data
2. Lexical Analysis and Tokenization
3. Parsing and Abstract Syntax Trees
4. Control Flow Graphs
5. Data Flow Analysis
6. Symbol Tables and Name Resolution
7. The Limits of Static Knowledge

Chapter 3: Semantic Analysis and Type Systems

1. Beyond Syntax: Understanding Meaning
2. Type Inference and Type Checking
3. Polymorphism and Generic Analysis
4. Null Analysis and Reachability
5. Semantic Lints and Domain-Specific Checks
6. When Type Systems Save You

Chapter 4: Rule Engines and Pattern Matching

1. The Rule Engine Architecture
2. Structural Pattern Matching
3. Data-Driven Pattern Detection
4. Custom Rule Development
5. Rule Priorities and Conflicts
6. Real-World Rule Examples

Chapter 5: Taint Analysis and Security Scanning

1. Understanding Taint Propagation
2. Sources, Sinks, and Sanitizers
3. Tracking Across Function Boundaries
4. Common Vulnerability Classes
5. Limitations of Static Security Analysis
6. Augmenting Security Analysis with AI

Chapter 6: Code Quality, Smells, and Maintainability

1. Defining Code Quality Programmatically
2. Common Code Smells and Their Signals
3. Complexity Metrics and Thresholds
4. Duplication Detection
5. API and Interface Quality
6. Reading the Metrics Right

Chapter 7: The Static Analysis Ecosystem

1. Tool Categories and Their Roles
2. Language-Specific Ecosystems
3. Monolithic Analyzers vs Toolchains
4. Open Source vs Commercial Tools
5. Evaluating and Selecting Tools
6. Where AI-Assisted Analysis Fits

Chapter 8: Claude Code Architecture and Capabilities

1. What Is Claude Code
2. The Architectural Model
3. Repository Context and Context Windows
4. Tool Integration and Orchestration
5. Agentic Behavior and Workflow Patterns
6. Strengths and Limitations

Chapter 9: Designing Your Static Analysis Strategy

1. Starting from Your Goals
2. Risk-Based Rule Selection
3. Severity Levels and Classification
4. Balancing Strictness and Pragmatism
5. Organizational Policy and Governance
6. The Strategy Document Template

Chapter 10: Introducing Static Analysis into Existing Codebases

1. The Adoption Paradox
2. Generating Baselines
3. Phased Rollout Strategies
4. Communicating with Teams
5. Handling Legacy Code and Technical Debt
6. Measuring Adoption Progress

Chapter 11: Configuring Claude Code for Static Analysis

1. Project Structure and Configuration
2. Writing Effective Project Instructions
3. Analysis Prompts and Templates
4. Integrating Tool Commands
5. Context Management and Scope Control
6. Configuration Examples

Chapter 12: Orchestration Patterns: Claude Code with Traditional Tools

1. The Orchestration Layer Concept
2. Tool Coordination Patterns
3. Error Triage and Prioritization
4. Augmenting Deterministic Results
5. Hybrid Analysis Workflows

Chapter 13: CI/CD Integration and Quality Gates

1. CI/CD Pipeline Architecture
2. Build-Time Analysis Integration
3. Quality Gate Design
4. Handling Flaky and Noisy Results
5. Performance and Scalability Considerations
6. Complete Pipeline Examples

Chapter 14: False Positives, False Negatives, and Finding Management

1. Understanding Error Rates
2. False Positive Management
3. Suppression Strategies
4. Finding Prioritization Frameworks
5. Feedback Loops and Rule Tuning
6. Keeping the Tool Trustworthy

Chapter 15: Large Scale Analysis: Monorepos and Enterprise Codebases

1. Scaling Challenges
2. Incremental Analysis Strategies
3. Caching and Performance Optimization
4. Monorepo Analysis Patterns
5. Polyglot Repository Strategies
6. Distributed Analysis Architecture

Chapter 16: AI-Assisted Code Review with Claude Code

1. The Code Review Workflow
2. Diff Analysis and Change Review
3. Automated Review Comments
4. Fix Suggestions and Verification
5. Interaction Patterns with Reviewers
6. Review Quality Assessment

Chapter 17: Security Analysis and Compliance

1. Security Analysis Objectives
2. Vulnerability Pattern Detection
3. Secrets and Credential Scanning
4. Compliance Frameworks and Checks
5. Auditability and Evidence
6. Risk Reporting

Chapter 18: Developer Experience and Cultural Adoption

1. Designing for Developer Experience
2. IDE Integration and Real-Time Feedback
3. Education and Onboarding
4. Building a Quality Culture
5. Metrics That Motivate
6. Sustaining Long-Term Engagement

Chapter 19: Advanced Topics and Emerging Directions

1. Cross-Repository and Dependency Analysis
2. Cross-Language Analysis
3. Model-Based and Specification-Driven Analysis
4. Machine Learning in Static Analysis
5. Protocol and API Contract Analysis
6. The Future of Code Analysis

Chapter 20: Case Studies and Production Scenarios

1. Startup Scaling Their Analysis
2. Enterprise Migration to Modern Tooling
3. Polyglot Microservices Analysis
4. Security-Focused Financial Services
5. Open Source Project Quality Program
6. Lessons and Patterns

Chapter 21: Conclusion and Evolving Your Practice

1. Key Principles That Endure
2. Building a Learning Loop
3. When to Change Your Approach
4. The Role of Judgment and Context
5. Staying Current with the Field
6. Final Thoughts

References