Writing Hub
AI governance essays, reasoning systems notes, experiment logs, and technical writing across BioAI and engineering practice.
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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.
I Stopped Being a Human Copy-Paste Script
I used to manually delete node_modules at 2 AM and pray I didn’t leak secrets to LLMs. Then I built an open-source “Inspector” that treats context like production code — secrets blocked, payloads cleaned, hallucinations gone. Here’s exactly how I did it (and how you can too).
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.
Everyone’s Racing in the AI Era — Speed as Fever, Craft as Cure
In the AI era, speed is a fever and craft is the cure. A true story of wielding the 'fire-axe' of speed, a costly crash, and the 'stitches' (rituals & a 7-day plan) I used to mend the raft.
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