Mixture of Experts in AI
Explains sparse Mixture-of-Experts (MoE) architecture with conditional computation, router/gate mechanisms, load balancing, and trade-offs vs. dense models.
Architecture
MCP vs Plugins in Claude Code: which to use when
MCP vs plugins: layered distinction (external systems vs assistant-extension packaging); both cross-surface across Claude Code, Cowork, and the Claude apps
Agent Harness Six Components (E, T, C, S, L, V) — Survey Summary
Summarizes the six-component agent harness model: execution, tools, context, state, hooks, and evaluation.
Sub-Agent vs Tool-Agent in AI Harness Engineering
Distinguishes sub-agents from tool-agents by autonomy, interface, context, and harness contract.
MCP Interaction Model
Deep-dive into the Model Context Protocol interaction model covering components, OAuth 2.1 authorization, initialization, capability discovery, tool calling, sampling, and elicitation.
Defense-in-Depth
Overview of the defense-in-depth security strategy, its layered controls, core assumptions, and applications beyond IT
Mixture of Experts (MoE)
Overview of MoE architecture, routing, key components, variants, and trade-offs in machine learning models