We Read the Source Code
So You Don't Have To
Most technology coverage starts from the press release. A company announces a product, journalists summarize the announcement, and opinions form around marketing copy.
We work differently. We start from the source code.
What This Blog Does
Every investigation published here follows the same methodology: clone the repository, read the code, map the architecture, identify the security boundaries, and only then form an opinion. We cross-reference our findings with academic research, vendor reports, and community discourse—but the source code is always the primary source.
Our audience is technical teams making real decisions: engineers evaluating frameworks, executives approving vendor selections, and marketers trying to understand what their competitors actually built versus what they claimed to build.
What You Can Expect
Each investigation is structured for multiple audiences. Engineers get architecture diagrams and CVE analysis. Executives get risk assessments and actionable recommendations. Marketers get growth strategy breakdowns and competitive intelligence.
We publish on weekday mornings, US Eastern Time. We use AI-assisted research and writing, and we disclose that openly. The analysis, opinions, and editorial decisions are human.
First Up
Our inaugural investigation examines OpenClaw—the AI agent framework that reached 250,000 GitHub stars faster than any project in history. We read all 7,617 files. The findings were not what the headlines suggested.