Manage AI Coding Tools Like You'd Manage an Intern

像管理实习生一样，管理 AI 编程工具

Cursor, Claude Code, and Codex have converged on the same set of features over the past three months, all designed to manage LLMs as if they were virtual interns. The models code fast but can't self-verify, lack spatial awareness, and drift on long tasks. The shared fixes: goal-driven agent loops, shared canvases or browser integration for visual alignment, and mobile apps for async oversight. The post argues this convergence stems from underlying model homogenization, and the real shift developers need is moving from real-time chat to long-horizon task management.

Why it matters: Sharp insight tying together convergent agent-loop features across Cursor, Claude Code, and Codex under the 'virtual intern' metaphor. Docked slightly because it's a synthesis piece, not a first-party release, and the body is truncated so the full argument is incomplete.