@cxjwin: Found a very practical website collecting various ready-made Agent Loop templates. Core idea: stop manually prompting all the time; design the loop so the agent runs the task on its own. It includes Test Until Green, Fix CI Until G…
Summary
Shared a practical website that collects ready-made Agent Loop templates. The core idea is to let the AI agent automatically complete tasks. It includes common loops like Test Until Green, and is suitable for use with Claude Code and Cursor.
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@li9292: 我推荐这个网址： https://loops.elorm.xyz 收录了几十个大神的 loop engineering的思路
A curated collection of pre-built agent loops (closed-loop workflows) for coding agents like Claude Code and Cursor, including triggers, feedback gates, and exit conditions for self-paced task execution.
@SunNeverSetsX: Sharing my curated 4 infrastructures that make Agent Loop run faster and better—you must let your agents use them! 1. http://agent-browser.dev Let agents click and verify UI changes in a real browser for true self-closing test loops...
agent-browser is a CLI tool for browser automation designed for AI agents, using compact text output and ref-based element selection to minimize token usage. The post also highlights three other tools—portless, emulate, and ai-cli—for improving agent loop efficiency.
@cellinlab: https://x.com/cellinlab/status/2064144608242679822
This article introduces the concept of Loop Engineering — instead of directly writing prompts for AI agents, it designs a system (loop) that recursively lets the agent iterate on tasks until completion. The article provides a detailed comparison of how Claude Code and Codex implement five building blocks: automations, worktrees, skills, sub-agents, etc. It suggests this could be the future trend of collaborating with coding agents, but also warns about token costs and AI slop issues.
@QingQ77: Loops provides 100 carefully curated AI-driven automation loop templates, covering software development, data science, content creation, product operations, learning management, and more. https://github.com/jwangkun/loops Let the AI assistant repeatedly "do → check → fix → do again"…
Loops is an open-source project containing 100 AI-driven automation loop templates, covering areas such as software development, data science, content creation, and more. It supports AI coding assistants like Claude Code, Cursor, and Trae, enabling autonomous task completion through the closed-loop pattern of "Execute → Check → Fix → Repeat".
@Xudong07452910: Open source project recommendation: loop-engineering — a practical framework that gives your AI coding agent self-looping and intelligent orchestration capabilities. loop-engineering is a very popular concept right now, offering practical patterns, starters, and CLI tools to help developers design systems…
loop-engineering is an open-source framework that provides self-looping and intelligent orchestration capabilities for AI coding agents (such as Claude Code, Codex, Cursor). It includes 7 production-grade loop patterns, practical CLI tools, and a five-data-block design, helping developers transition from manual prompting to systematic automation.