AI Agent Internals: How Coding Agents Really Work
What is really happening inside an AI agent — the loop, the memory, the failure modes.
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1 How AI Agents Use Tools: The Model vs. Orchestrator Split The model only writes text. A separate orchestrator reads, validates, and executes — this split defines every AI agent ever built. Jun 23, 2026 -
2 MCP Explained: How AI Agents Connect to Any Tool How MCP's host-client-server model collapses N×M integrations to N+M, what servers actually expose, and how the 2025-11-25 spec adds human-in-the-loop controls. Jun 23, 2026 -
3 The Agent Loop and Supervision Contracts in AI Coding Tools How the think-act-read-decide loop works inside every coding agent, and why the supervision contract — not the model — is the real differentiator. Jun 23, 2026 -
4 How a Chat Message Becomes a GitHub API Call: Full Stack Trace Trace how a typed English sentence travels through eight nodes — editor, model, MCP client/server, GitHub API — and comes back as a created issue. Jun 23, 2026 -
5 How MCP Apps Work: Tools That Return Interactive UI MCP tools can return real interactive UI — not just text. Here's how MCP Apps render forms, dashboards, and widgets inside Claude and VS Code, with a precise technical breakdown. Jun 23, 2026 -
6 Why MCP Tools Disappear: Editor Modes and Permission Gates MCP tools vanish because editors gate them by mode. Learn how the protocol works, what tool annotations signal, and which gate each editor places. Jun 23, 2026