Writing Hub
AI governance essays, reasoning systems notes, experiment logs, and technical writing across BioAI and engineering practice.
Project Topics
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.
LOGOS v1.4.1: Building Multi-Engine AI Reasoning You Can Actually Trust
LOGOS v1.4.1 is a multi-engine AI reasoning orchestrator that enforces consensus, traces failures, and applies governance profiles to reduce drift and make production reasoning more trustworthy.
HRPO-X v1.0.1: from HRPO paper production-hardened runnable code
How HRPO-X turns the HRPO paper into production-hardened runnable code, with reproducible execution, governance checks, and deployment-ready structure.
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.
Stop Acting Like You Just Invented Fire: Why MCP Is Just Fancy Plumbing
A brutal, funny teardown of MCP hype. Why the Model Context Protocol is not the future of intelligence—just fancy plumbing. FOMO, telegraphs, sewage pipelines, and the unsexy work that actually makes AI systems survive.
The 90/10 Split Nobody Talks About in AI
SEO Description:The hidden 90/10 split in AI: most build wrappers, while a quiet minority invents the future. A look at hype, economics, and real innovation.
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.
Running the “Anti-AI” Playbook Through the Debugger
Critics say AI is broken — hallucinations, hype, and no ROI. But what if those bugs aren’t failures, but blueprints? This article runs the 10 most common anti-AI arguments through the debugger to reveal what’s really coming in Gen-2 AI.
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.
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.
Showing page 2 of 3 · 28 matching posts