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Articles about AI agent readiness, web standards, and preparing for autonomous agents.
Build for Agents: Why CLIs Are the New Distribution Channel
Andrej Karpathy argues CLIs are exciting because they're 'legacy' technology — battle-tested, standardized, and universally parseable by AI agents. We break down why CLIs, MCP servers, and machine-readable docs are becoming the primary distribution channel for software, and what product teams need to build right now.
What Is agents.json? Advertising AI Agent Capabilities on Your Website
agents.json is the emerging complement to robots.txt - a machine-readable file that tells AI agents what your website can do. We cover the Wildcard specification, compare it to A2A, MCP, and OpenAPI, and show you how to implement it step by step.
What Is MCP? The Model Context Protocol for AI Agents
Anthropic's Model Context Protocol (MCP) connects AI assistants to external tools and data. We cover the architecture, discovery via /.well-known/mcp.json, current adoption, and how to implement it.
What Is Google's A2A Protocol? Agent-to-Agent Communication Explained
Google's Agent-to-Agent (A2A) protocol lets AI agents discover and work with each other. We cover the Agent Card, task lifecycle, A2A vs MCP, the partner ecosystem, and step-by-step implementation.
What Is WebMCP and Why Your Website Needs It
WebMCP is the W3C proposal for exposing website functionality directly to AI agents. We cover the Declarative and Imperative APIs, site-wide discovery, browser support timeline, and step-by-step implementation with code examples.
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