VILA-Lab

Dive Into Claude Code — AI skill for Claude Code

AI community

A Systematic Analysis and Discussion of Claude Code for Designing Today's and Future AI Agent Systems.

How to install Dive Into Claude Code

This entry records only its repository, not the path inside it, so there is no exact command to give. Open VILA-Lab/Dive-into-Claude-Code and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Dive Into Claude Code does

A Systematic Analysis and Discussion of Claude Code for Designing Today's and Future AI Agent Systems.

Alternatives in AI

  • Claude Code Design Guide — From Early Internet Design Patterns to AI Agent Implementation — A Deep Dive into Claude Code for Developers 762 ★
  • Learning Goal — A Claude Code skill for designing learning goals during AI-assisted coding 249 ★
  • Designing AI Agents — Companion code for 'Designing AI Agents' (Manning, 2027) — 27 agent design patterns, organized by the 7 cognit 181 ★

README

Dive into Claude Code

High-level system structure of Claude Code

Paper arXiv License Stars PRs Welcome

English | 中文

**A comprehensive source-level architectural analysis of Claude Code (v2.1.88, ~1,900 TypeScript files, ~512K lines of code), combined with a curated collection of community analyses, a design-space guide for agent builders, and cross-system comparisons.**

[!TIP] **TL;DR** -- Only 1.6% of Claude Code's codebase is AI decision logic. The other 98.4% is deterministic infrastructure -- permission gates, context management, tool routing, and recovery logic. The agent loop is a simple while-loop; the real engineering complexity lives in the systems around it. This repo dissects that architecture and distills it into actionable design guidance for anyone building AI agent systems.


Table of Contents

**From Our Paper**