AI, Cloud & Code

Deep technical articles on AI agents, cloud architecture, and developer tools. Written by zhuermu.

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AI & Agent

The Real Showdown After the Source Leak: Claude Code vs OpenClaw, 510K Lines vs 530K Lines

In our [previous article](https://zmead.com/blog/openclaw-vs-claude-code-design-philosophy), we dissected OpenClaw's 450K lines of open-source code alongside the 183 Markdown config files in Claude Code's public repository. We knew at the time that Claude Code's core runtime was closed-source — all we could analyze was the plugin ecosystem's definition layer. On March 31, 2026, security researcher Chaofan Shou discovered a 60MB `cli.js.map` file buried inside Claude Code v2.1.88's npm package — 1,884 TypeScript source files, 512,664 lines of code, fully exposed. This time, we finally get to crack open Claude Code's real engine and do a truly apples-to-apples source code comparison.

Cloud Architecture 18 min

Complete Failed Request Logging and Async Replay with CloudFront and Lambda@Edge

A dual Lambda@Edge architecture for recording full request headers and body of failed requests — WAF blocks and origin errors — without modifying origin code, with async replay from S3.

AI & Agent 8 min

WeChat Meets OpenClaw: What One CLI Command Tells Us About Platform Strategy in the AI Agent Era

WeChat's native integration with OpenClaw signals a major shift in platform strategy. Here's why the world's largest messaging app opening up to AI agents matters.

Cloud Architecture 12 min

5 Pitfalls of Logging Failed Requests with CloudFront + Lambda@Edge

How we built a dual Lambda@Edge solution to capture full request headers and body for failed CloudFront requests — and the 5 pitfalls we hit along the way.

Tech Deep Dive 25 min

How AI Coding Agents Actually Work: A Source Code Deep Dive

From LLM reasoning and tool calling to context window management and security models — a comprehensive look at the internals of AI coding agents, based on Amazon Q CLI and Claude Code source code.

Coding Tools 18 min

Building an Enterprise Agentic AI Platform with Kiro and AWS

How we built a delivery-focused AI agent platform using Kiro IDE, Strands Agents, Amazon Bedrock AgentCore, and AWS CDK — in one week, with zero hand-written code.