cablate

cablate / claude-code-research

Public

Independent research on Claude Code internals, Claude Agent SDK, and related tooling.

claude-agent-sdk claude-code mcp prompt-caching research
80
29
69% credibility
Found Mar 31, 2026 at 80 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
HTML
AI Summary

This GitHub repository compiles independent research reports reverse-engineering the internal workings of Anthropic's Claude Code AI coding tool, covering architecture analysis, cost optimizations, and behavioral investigations.

How It Works

1
🔍 Stumble upon the research

While searching for tips on using your AI coding helper Claude Code, you find this collection of deep-dive reports shared on GitHub.

2
📖 Explore the welcome guide

You open the main page and see clear summaries of reports on hidden features, cost tricks, and inner workings, making it easy to pick what interests you.

3
Choose your learning path
📚
Deep architecture dive

Jump into detailed breakdowns of prompts, tools, security, and secret features to understand the big picture.

🔧
Problem-solving reports

Head to guides on cache issues, hidden charges, and tweaks to make your sessions cheaper and smoother.

4
💡 Unlock insider secrets

You discover why some actions cost extra, how memory works behind the scenes, or ways to avoid wasteful repeats, feeling like you've gained superpowers.

5
💻 Put tips into action

Try the simple suggestions in your own Claude Code chats, like adjusting settings for better efficiency.

🎉 Work smarter, spend less

Your AI coding sessions run faster and cheaper, with fewer surprises, thanks to the practical insights you gained.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 80 to 80 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is claude-code-research?

This independent GitHub project delivers deep research on Claude Code internals, pulled from leaked TypeScript source and minified CLI bundles. It packages 75 architecture reports across 10 domains—like prompts, agents, security, and costs—plus 8 behavioral investigations into cache invalidation, tool stability, and hidden expenses, all in bilingual English/Chinese formats with an interactive HTML viewer. Devs get reverse-engineered insights to optimize their Claude Code setups without digging through minified code themselves.

Why is it gaining traction?

Unlike scattered GitHub forks or vague blog posts, it offers the most complete public breakdown of a production AI coding agent's mechanics, including cache optimization patches hitting 90% efficiency and cost traps like auto-mode classifiers burning Opus tokens. The hook is actionable advice—prompt patterns, security models, multi-agent flows—that translates directly to better SDK usage or custom agents. Bilingual reports make it a go-to for Chinese independent GitHub communities chasing claude code research previews.

Who should use this?

Claude Code CLI heavy users fighting quota burns in long sessions. Agent SDK devs building wrappers who need cache-safe tool loading and production patches. AI researchers prototyping multi-agent swarms or prompt engineering from real-world examples.

Verdict

Grab it for claude code deep research github if you're tuning Anthropic tools—80 stars show niche appeal, and comprehensive reports punch above the 0.7% credibility score. Early maturity means verify findings in your stack, but it's a practical edge over official docs.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.