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My LLM Kept Forgetting My Project. So I Built a Governance Schema.
Session loss isn't a UX inconvenience — it's a structural failure with compounding consequences for long-running AI projects. This post defines the problem precisely and introduces MICA, a governance schema for AI context management.
95% of AI Businesses Will Die. Here’s How to Not Be One of Them.
What the data, a founder’s confession, and 70 years of tech history tell us about who actually survives.
What AI Changed About Research Code — and What It Didn’t
The old bottleneck was writing the code. The new bottleneck is proving that the code still means what the theory meant.
Is MCP Really Dead? A History of AI Hype — Told Through the Rise and Fall of a Protocol
When a protocol doesn’t die — it just stops being interesting. A forensic look at MCP, OpenClaw, and the psychology of AI hype cycles.
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.
Beyond AI FOMO — From Tulip Mania to OpenClaw 2026: The Governor That Saves You
The real breach wasn’t in the code. It was in you.
The AI Flight Crash: Why 2026’s Hottest Papers Can’t Take Off — and what actually ships
Langley spent $50,000 and sank — the Wright Brothers flew for <$1,000. Here’s a 4-week build plan I’ve seen actually ship.
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.
AI Isn’t Killing Your Expertise. It’s Just Moving the Paywall.
Why ‘Writing Faster’ Is Worthless When Nobody Can Verify What’s True
When the Michelin Recipe Fails in Your Kitchen
Why 2026 Marks the End of DIY AI — and the Rise of the AI Meal Kit
Why I Stopped Treating Complexity as a Bug
On intent, governance, and why “clean code” heuristics fail in AI-generated systems
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