Monday, 9th March 2026
Context Engineering for AI Agents: 6 Techniques from Claude Code, Manus, and Devin
I studied how production AI agents like Claude Code, Manus, and Devin actually work. The single most important concept is not prompt engineering. It is context engineering: the art of controlling exactly what goes into the model’s context window, and what stays out.
[... 2,126 words]playwright-cli: How to Give Your AI Coding Assistant a Real Browser
If you use Claude Code (or any AI coding assistant), there’s a tool that makes browser automation easy: playwright-cli. It’s a command-line wrapper around Microsoft’s Playwright. It lets you control a real browser from your terminal: navigate pages, click buttons, fill forms, take screenshots, and scrape content. Here’s how to install and configure it, and why it’s genuinely useful.
[... 1,108 words]Build a Research Engine in Claude Code: YouTube Search → NotebookLM → Synthesized Insights in 5 Minutes
I built a research engine inside Claude Code. It searches YouTube, feeds results into Google NotebookLM, and lets me query across all the sources. All of this happens without leaving the terminal. Here’s exactly how it works and how to build it yourself.
[... 1,186 words]Top Claude Code Skills: What 20 YouTube Videos and 2.3M Views Agree On
I researched 20 YouTube videos on Claude Code skills. I added all of them to Google NotebookLM and asked it to synthesize the top skills across every source. Here’s the result. The ranking uses two measures: how often the videos mentioned each skill, and how impactful creators found it.
[... 860 words]10 Hidden Concepts in Strands SDK Hooks That You Won’t See by Reading the Code
The Strands SDK hook system looks simple on the surface. You register a callback, and you receive an event. But there are 10 hidden concepts buried in the design that you’ll never see by just reading the code. Here’s what actually happens under the hood.
[... 1,391 words]From Webcam to Robot Brain: How Vision-Language Models and Vision-Language-Action Models Actually Work
I built a webcam app that sends live frames to Claude and GPT-4o for real-time scene understanding. Along the way, I discovered how fundamentally different this is from what robots like OpenVLA do with the same camera input. Here’s the full pipeline. It starts with photons that hit your webcam sensor and ends with tokens that come back from the cloud.
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