Type: Workshop / Product Launch & Tutorial Main Topic: The introduction of "Routines" in Claude Code, a feature that eliminates the need for manual agent infrastructure by allowing developers to easily set up, guide, and monitor autonomous, proactive AI coding agents. Speakers: Mia (Member of the Applied AI Team at Anthropic) This workshop was conducted to address a massive pain point in the current AI developer ecosystem: building proactive, backgroundrunning AI agents requires excessive boilerplate infrastructure (cron jobs, hosting, webhooks). Mia aims to introduce "Routines"—Anthropic's managed solution—to help developers transition Claude from a reactive "tool" waiting for a prompt, into an autonomous "teammate" that detects issues and takes action based on schedules or native events. Figure 1: The core paradigm shift — from a reactive AI that waits for a prompt to a proactive agent that monitors, detects, and acts independently. Figure 2: The fivestep workflow for deploying a Claude Routine — from a single /schedule command to live agent monitoring via the web UI. Core Concepts: Proactive vs. Reactive Agents: Moving from an AI that waits for the user to press "Enter" (Reactive), to an AI that actively monitors environments and initiates tasks independently (Proactive). Managed Agent Infrastructure: Anthropic handles data persistence, session state, hosting, and authentication. Developers no longer need to rely on local machines or build secondary cloud stacks to keep agents alive. GeneratorCritiquer Pattern (AgentonAgent Review): A system architectural pattern where one AI routine generates work (e.g., writes code) and a second, independent routine triggers to automatically critique and review that work before human intervention. StepbyStep Guide: Creating a Routine via CLI 1. Initiate: Open your terminal and launch Claude Code. 2. Command: Type /schedule followed by natural language instructions (e.g., "Once a week, review merged changes a
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