A real-world case study in passive threat intelligence and open-source investigation. Disclaimer: This research was conducted exclusively for educational purposes and passive threat intelligence. No systems were breached, no credentials were used without authorization, and no sensitive identifying data is reported in this article. All information collected comes from publicly accessible sources: S
More rules should mean better output. That's the intuition. I spent weeks building a comprehensive CLAUDE.md — 200 lines covering naming conventions, security rules, error handling, architectural patterns, import ordering, type safety requirements, and more. I was proud of it. I'd thought through every scenario. Then I scored the output. 79.0 / 100. My carefully crafted documentation was actively
CoderLegion charges $10/month premium while running hidden ads, faking their founding date, inflating user counts by 70%, and sending bulk emails with mail merge errors. Full technical proof. Every claim verified against public record. TL;DR: CoderLegion charges $10/month for "premium" access to ~37 active writers on a free open-source script running on $5 shared hosting. They claim no ads (Goo
Have you ever looked at code you wrote six months ago and thought: "Who wrote this monster?"? Relax, it happens to all of us. In software engineering, writing code that a machine understands is the easy part. The real challenge is writing code that other humans (including your future self) can understand, maintain, and scale. This is exactly where Software Design Principles come into play. In this
Part 1 of 5 in The New Engineering Contract — what it means to lead engineers when AI is doing more of the coding. SWE-CI tested 18 AI models across 71 consecutive commits. Most broke something on commit 47 they'd already broken on commit 1. That's not an intelligence problem. That's a learning system that isn't learning. A paper made me uncomfortable this month. Not because of what it found about