# agent

Anthropic accidentally shipped the full TypeScript source code of Claude Code CLI inside an npm source map. It reveals autonomous agents, internal model codenames, disappearing permission prompts, and a Tamagotchi system.

A Tsinghua Shenzhen team proposes NLAH (Natural-Language Agent Harnesses): moving agent control logic from code into structured natural language, executed by an IHR runtime. Experiments show harnesses can reshape agent behavior patterns entirely, but more structure doesn't always mean better results. Dan McAteer argues harness engineering matters as much as model capability.

Artificial Analysis launches AA-AgentPerf, a hardware benchmark that uses real coding agent trajectories instead of synthetic queries. It allows production optimizations, measures per-accelerator/per-kW/per-dollar efficiency, and scales from single cards to full racks.

Anthropic launches Claude Code Channels with native Telegram and Discord support, turning Claude Code into a 24/7 always-on AI agent. VentureBeat calls it the OpenClaw killer.

Claude Computer Use sparked huge excitement, with many claiming AI will fully replace human workers. But the original author points out that while AI can handle technical operations, it can't replace human judgement and cultural context. The real moat is still deep domain knowledge.

Andrew Ng announces a new course on A2A (Agent2Agent Protocol). With IBM's ACP merging in, A2A is becoming the industry standard for agent-to-agent communication, letting you connect Google ADK and LangGraph agents seamlessly.