Governing Agentic AI: Human-in-the-Loop Patterns When Tools Can Act (MCP Edition)
Agentic AI doesn't just recommend — it acts. That changes governance from a policy question into an engineering question: which patterns actually limit blast radius, satisfy a human reviewer, and survive scrutiny from a regulator or court? A practical playbook for MCP-connected agents, with a checklist for regulated industries.
16 Sept 2026
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Tokens, Vectors, and Attention: How an LLM Actually Reads Your Prompt
AI Liability: Who Is Responsible When AI Gets It Wrong?
MCP Explained: How AI Models Talk to Your Tools (and What Shipped in 2026)
Developer resources
Open-source agent skills, a CLI for managing them, and the design system that powers this site.
Install and share agent skills and MCP configs across Claude, Cursor, Windsurf, and other coding agents.
The skills this site runs on, plus 22 development harness skills with brownfield change control and verification loops.
33 research-backed UX laws, each with a without/with example, grounded in mechanism instead of taste.
Design system documentation with brand guidelines, fundamentals, UI components, and game design primitives.
Patterns, language features, and practical JS craft.
Layout, styling systems, and modern CSS techniques.
Protocols, systems, data architecture, and fundamentals beyond any one language.
Building, testing, and shipping AI-powered features.
Opinion pieces, industry takes, and things I am working through.
App Router, rendering, and full-stack React patterns.
Reliable test strategies for modern web applications.
Game engines, mechanics, and shipping interactive experiences.
Governing Agentic AI: Human-in-the-Loop Patterns When Tools Can Act (MCP Edition)
AI-First Programming Languages: What They Are, and Whether You Should Use One Yet
lucide-animated: Icon Motion That Knows When to Stop
Animated Gradient Borders: A Better Loading State for AI Interfaces
Pathfinding Algorithms Explained
Tokens, Vectors, and Attention: How an LLM Actually Reads Your Prompt