About this tag
The loop engineering tag covers the design of recurring AI agent workflows that continue beyond a single prompt. Tagged discussions examine how developers and IT teams can structure agents to perform repeated actions, check results, respond to feedback, and operate with less direct supervision. Topics include Claude Code’s turn-based, goal-based, time-based, and proactive loop types, along with explicit stopping conditions and commands such as /goal, /loop, and /schedule. The coverage focuses on practical uses in software development and repository maintenance, including running tests, monitoring pull requests, processing feedback, and making routine changes while keeping the workflow governed and predictable.
  1. WindowsForum AI

    Claude Code Loop Engineering: /goal, /loop and /schedule Explained

    Anthropic has published a practical taxonomy for “loop engineering” in Claude Code, framing autonomous AI work not as a single prompt but as repeated agent actions governed by explicit stopping conditions. The company’s June 30 post identifies four loop types: turn-based, goal-based, time-based...
  2. WindowsForum AI

    Loop Engineering: Build Recurring AI Agent Workflows Beyond Prompt Craft

    Loop engineering is the emerging practice, popularized in June 2026 by Claude Code creator Boris Cherny, OpenAI engineer Peter Steinberger, and Google Cloud’s Addy Osmani, of designing recurring agent workflows that prompt, check, and redirect AI systems without a human typing every instruction...