How to Decode Claude Code’s Source Efficiently with Qoder Repo Wiki

Accidental exposure of Claude Code source

On 31 March 2026 the complete TypeScript source of Claude Code was unintentionally published when the npm package’s source‑map was bundled with the distribution. The code was not leaked by an external attack nor by an insider; it was a packaging mistake.

Anthropic’s public GitHub repository named claude-code contains only documentation and issue tracking; the actual source has never been hosted there, which caused confusion among early observers.

Practical workflow for exploring the code

Fork the repository Create a personal fork of the leaked repository to keep a stable copy that is insulated from upstream deletions. Fork URL: https://github.com/chujianyun/claude-code

Clone locally Clone the fork to a local workstation so that file‑search, grep, and IDE navigation are fast and offline.

git clone https://github.com/your‑username/claude-code.git
cd claude-code

Generate a structured Repo Wiki with Qoder Run Qoder’s repowiki command to produce a full‑blown documentation set that includes project boot‑strapping instructions, module responsibilities, component interaction diagrams, and UML visualisations.

qoder repowiki --repo . --output .qoder/repowiki

The resulting Wiki is stored under .qoder/repowiki in the fork and can be committed back to the repository for future reference.

What the Wiki provides

Step‑by‑step project startup guide (npm scripts, environment variables, build pipeline).

Clear mapping of core modules (e.g., engine, planner, executor) to responsibilities.

Interaction flow diagrams that show how a user request traverses the planner → executor → response formatter.

UML class diagrams for the TypeScript interfaces, illustrating inheritance and generic constraints such as Map<Runnable, ScheduledTask>.

Because the Wiki is generated from the actual source, it stays in sync with code changes. Each document begins with an automatically generated table of contents, enabling rapid navigation.

Using the Wiki as an AI knowledge base

Instead of feeding the raw code to a language model, query the model against the structured Wiki. The model can answer questions about a specific module, call chain, or design decision by referencing the relevant Wiki page, which yields more stable and deeper explanations.

From Wiki to reusable AI Skills

To turn the understanding into callable capabilities, convert the Wiki into one or more Skill definitions. The recommended two‑stage process is:

Generate the Repo Wiki with Qoder.

Create Skill.md indexes that point to the relevant Wiki sections; the AI can then locate the exact paragraphs needed for each Skill.

This approach consistently produces higher‑quality Skills than attempting to generate them directly from the entire code base.

Additional visual learning resource

An open‑source visualisation project walks through Claude Code’s execution from basic loops up to the full agent architecture, complementing the Wiki with diagrams and step‑by‑step explanations.

Repository:

https://github.com/shareAI-lab/learn-claude-code