Vibe Coding Featured AI Didn’t Kill Coding. It Killed Typing! Typing was never the work—solving problems was. AI pair-programming skips boilerplate, letting devs focus on architecture, edge cases, and impact. Welcome to vibe coding, home of the 10× engineer.
LLMs Featured Are We Just Language Models in Meatspace? Maybe you’re not so different from an LLM. You just hallucinate with more confidence. This piece unpacks the “coherence trap,” why AI feels smarter than it is—and why that might reveal something uncomfortable about us.
Workforce AI and the Vanishing Ladder: Rethinking Work in the Age of Automation AI is erasing entry-level roles, gutting the talent ladder. Juniors aren’t learning, orgs lose future leaders, and inequality grows. To thrive, leaders must protect onramps, embrace hybrid roles, and invest in human development—not just automation.
Coherence Featured The Coherence Trap: Why LLMs Feel Smart (But Aren't Thinking) LLMs don’t think—they resonate. In this article, I unpack The Coherence Trap' the illusion of intelligence created by structured, fluent language. We explore how meaning emerges from alignment, not understanding, and why designing for coherence—not cognition—is the key to building with AI.
AI Agents Agentic Protocols: Cutting Through the Noise Agentic protocols like MCP, A2A, and ACP aim to standardize how AI agents interact—but each serves different needs. MCP excels at structured execution, A2A at distributed coordination, and ACP at simple integrations. Choose based on context; they’re tools, not truths.
HumanAugmentation Featured Prompting Is Dead. Long Live the Loop. Prompting alone won’t cut it. By reframing AI work as a structured loop of context, feedback, and iteration true collaboration emerges not from clever one-liners but from designing fluid, adaptive interactions where meaning is shaped together.
