Writing Hub
Essays, experiment logs, and technical notes across AI governance, reasoning systems, BioAI, and engineering practice.
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Prompt, Pray & Push: Why Your AI Agent Keeps Failing You
The one concept that turns expensive spaghetti into great agentic engineering.
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.
AI Agents Are Poisoning Your Codebase From the Inside
Explore how AI-generated code can silently degrade software quality through weakened tests, rising code churn, and duplication—and how teams can prevent it with better governance.
Why I Stopped Treating Complexity as a Bug
On intent, governance, and why “clean code” heuristics fail in AI-generated systems
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.
2026 CRM AI: From Seats to Service (Why Undo Beats IQ)
In 2026, CRM AI won’t be won by smarter models—but by Undo. This essay explores why enterprise adoption shifts from IQ to liability, how “Service as a Software” replaces SaaS, and why seatbelt layers decide who actually ships AI in production.
Built a SaaS in 30 Minutes? When “No-Code Hype” Meets the Operational Wall
Where no-code hype hits the operational wall: auth, billing, security, cost.