The *Architecture* of Claude Code
AsyncGenerator pipelines, the ReAct core loop, the dependency-injected permission system, write-ahead transcript persistence, and the six patterns composing the whole system.
April 28
How Claude Code Works in *Plain English*
Claude Code in plain English: a system with a brain, a set of hands, eyes, and a memory. The clearest non-technical explainer of agentic AI you will read this year.
April 28
Claude Code Explained to a *Business Executive*
The strategic case for Claude Code, written in the register of a board memo. Cost economics, the redeployment thesis, the safety model, and the one question to ask your CTO this quarter.
April 28
How Claude Code *Works*: A Field Guide at Three Altitudes
The most consequential agentic AI tool of 2026, explained at three levels of detail. Pick the one that starts at your altitude. Then keep climbing.
April 28
From Coding to *Vibe Coding*: The Skill Your Kids and Your Team Both Need Now
We are no longer teaching kids to code. We are teaching them to vibe code. And the same shift is quietly happening inside your company, whether you are tracking it or not.
April 27
The $4.4 Trillion *Shift*: Why AI Is Rewriting How Work Gets Done
Map AI capability against the SDLC and a pattern emerges most C-suite conversations miss. Where you spend most is where AI is strongest, and where AI is weakest is where your moat now lives.
April 22
Why AI Is Changing *How Work Gets Done*, Not Just How Fast
Silicon Valley veteran Hon Wong explains why AI is not another productivity tool. It is a fundamental shift in who does the work, and what that means for leaders.
April 21
7 Interview Scheduling Challenges — *And How AI Fixes Each One*
Discover the 7 biggest interview scheduling challenges facing recruiting teams in 2026 — and how modern AI scheduling solves each one.
April 10
The Limits of AI: Automation Stops at the Physical World (For Now)
Most repetition in our daily lives isn’t digital. It’s physical. While AI has dramatically improved efficiency in tasks like writing, coding, and analysis, it struggles to automate real-world activities that require interaction with unpredictable environments and physical objects. In the near term, AI will mainly assist by planning and optimizing these tasks, but true automation will depend on advances in robotics that allow AI to not just think, but act.
April 7