MCP’s USB-C analogy sounds perfect—but the reality involves JSON-RPC servers, stateful sessions, and infrastructure overhead. Here’s why a simple markdown file often beats a protocol-based approach.

How MCP solves the M×N integration problem and why Block, Replit, Zed, and Sourcegraph are betting on Anthropic’s open standard for AI agent interoperability.

A deep dive into the unique failure modes of production AI agents and the observability infrastructure needed to detect silent failures, monitor costs, and maintain reliability at scale.