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Claude Code internals research and reverse-engineering reports
This repo documents how Claude Code and the Claude Agent SDK behave, based on source-code analysis and bundle reverse-engineering. The material is organized into a large architecture study plus smaller reports on cache invalidation, system prompts, memory, security, and tool serialization.
Builders who want to study Claude Code internals, prompt caching, and agent behavior before building around them.
You can reason about Claude Code’s hidden behavior instead of treating it like a black box.
What it does
Source code analysis archive
A 10-domain, 75-report breakdown of Claude Code architecture, including system prompts, tool definitions, agent architecture, memory, security, and model selection.
Behavioral reports
Focused investigations into prompt cache architecture, cache invalidation, system-reminder injection, context lifecycle, and auto mode cost.
Reverse-engineering guide
A guide for locating functions and search patterns in the minified `cli.js` bundle.
Interactive HTML viewer
`source-code-analysis/index.html` lets you browse the embedded reports without running a server.
How to get it
- 1sanbuphy/claude-code-source-code — source code archive
CabLate, "Claude Code Research," GitHub, 2026. https://github.com/cablate/claude-code-research
README
Claude Code Research
Independent research on Claude Code internals.
What's in this repo
| Directory | What | Source | Count |
|---|---|---|---|
source-code-analysis/ | Full architecture reverse-engineering | Leaked TypeScript source (v2.1.88) | 75 reports |
reports/ | Problem-oriented investigations (cache, cost, injection) | Minified npm bundle (cli.js) | 8 reports |
Looking for the source code analysis? Go to
source-code-analysis/. Looking for specific bug/cost investigations? Go toreports/.
Source Code Analysis (source-code-analysis/)
On 2026-03-31, the full source code of Claude Code was exposed via a sourcemap file in the npm registry (discovered by Chaofan Shou, archived by Kuberwastaken and sanbuphy).
We performed a 10-domain, 75-report analysis — the most thorough publicly available breakdown of how a production AI coding agent works.
Interactive viewer — open source-code-analysis/index.html in your browser (all 75 reports are embedded, no server needed).
Key Findings
| Domain | Reports | Highlights |
|---|---|---|
| Harness Engineering ⭐ | 7 | Agent Loop reverse-engineering, 12 transferable harness design principles |
| System Prompt ⭐ | 6 | Complete 13-section prompt with dynamic assembly logic, 17 prompt engineering patterns |
| Cost & Quota ⭐ | 8 | Cost envelope, prompt cache break detection (12 causes), Haiku→Opus 37.5x cost gap |
| Tool Definitions | 8 | All 36 tool prompts, read/write concurrency separation, ant vs public prompt variants |
| Agent Architecture | 7 | 6 built-in agents, Coordinator mode, Swarm multi-agent, 50-message cap (from 36.8GB incident) |
| Security | 8 | 7-layer defense-in-depth, 23 Bash validators, Parser Differential threat model |
| Skills System | 5 | 16 bundled skills, 12 design patterns + 5 anti-patterns |
| Memory & Context | 9 | 6 memory subsystems, AutoDream consolidation, Team Memory dual-layer security |
| API & Models | 7 | 17 beta headers, 4 providers, model selection 5-layer priority |
| Hidden Features | 10 | 82 feature flags, KAIROS proactive mode, Buddy AI pet, UltraPlan, anti-distillation |
Behavioral Reports (reports/)
Problem-oriented investigations based on reverse engineering the minified cli.js from npm. Each includes English and Chinese versions.
| # | Topic | TL;DR |
|---|---|---|
| 1 | Agent SDK Cache Invalidation | SDK query() costs 3–10x more than CLI — process-per-call kills prompt cache |
| 2 | System-Reminder Injection | 15+ hidden injection types, 4 root-cause bugs |
| 3 | Prompt Cache Architecture | Static/dynamic zone split, sliding window, byte-prefix matching |
| 4 | Tool Serialization & Cache Stability | Zero .sort() on tools, deferred loading busts cache mid-conversation |
| 5 | Context Lifecycle Management | 5 threshold constants, 10-step compaction flow, chain reactions |
| 6 | Production Cache Optimization | 3 concrete cli.js patches + monitoring strategies |
| 7 | Cache Invalidation Verification | defer_loading excludes deferred tools from cache prefix entirely |
| 8 | Auto Mode Classifier Cost | Hidden Opus-level call before every side-effecting tool use |
Resources
- CLI Reverse Engineering Guide — search patterns & function locators for minified cli.js
- Analysis Plan — methodology for the 10-phase source code analysis
Source Code Archives
The analysis is based on the full TypeScript source of Claude Code v2.1.88. The source code itself is not included in this repo.
- chatgptprojects/claude-code — full source code
- Kuberwastaken/claude-code — source code breakdown & analysis
- sanbuphy/claude-code-source-code — source code archive
Version Baseline
| Scope | Version |
|---|---|
| Source Code Analysis | v2.1.88 (sourcemap leak, 2026-03-31) |
| Behavioral Reports #1–2 | v2.1.71 |
| Behavioral Reports #3–6 | Agent SDK v0.2.76 (build 2026-03-14) |
| Behavioral Reports #7–8 | v2.1.85 / v2.1.88 |
How to Cite
CabLate, "Claude Code Research," GitHub, 2026.
https://github.com/cablate/claude-code-research
Disclaimer
This is independent research, not affiliated with or endorsed by Anthropic. Behavioral reports analyze publicly distributed npm packages. Source code analysis is based on code exposed through npm registry sourcemaps.
Files in the repo
- reports
- research
- source-code-analysis
- CODE_OF_CONDUCT.md
- CONTRIBUTING.md
- README.md
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