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Essays, experiment logs, and technical notes across AI governance, reasoning systems, BioAI, and engineering practice.
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The Pull Request Illusion: How AI Is Hollowing Out Software’s Last Line of Defense
GitHub Just Added a Switch to Turn Off Pull Requests. That’s Not a Feature. It’s a Warning.
The Real Risk in the Age of AI Coding Isn’t Bugs
Is your AI code production-ready or just 'AI Slop'? Learn how to detect convincingly empty code, measure Logic Density (LDR), and stop 'Vibe Coding' from becoming hidden technical debt.
Open Source’s Critical Inflection Point and the 14,000,605-to-1 Survival Strategy
Open source isn’t dying and growing up. Why trust collapsed, forks emerged, AI changed the game, and what it will take to build a survivable open source future.
When 4,800 GitHub Stars Taught Me to Distrust Popularity
Research reveals 6M fake GitHub stars manipulating trust. A 4,800-star repo taught me to look beyond popularity—here's my 5-minute trust test.
Pretty, but Wrong — How I Stop AI from Shipping Beautiful Garbage
AI can generate clean-looking code fast—but without discipline it becomes “beautiful garbage” that silently rots your codebase. Learn six rules to prevent it.
Black Mirror: Plaything — Could a QR Code Really Hack the World?
Black Mirror imagines a QR-code apocalypse. As a Flame Glyph developer, I unpack what’s plausible today — local device disruption — and what remains fiction.
Structure Was the Real Bug — How I Ended Up Building dir2md
A firsthand account of how debugging chaos, failed AI assistance, and the absence of structure led to the creation of dir2md — an open-source CLI that filters, secures, and restructures codebases into token-efficient Markdown maps for developers and AI workflows.