@aronhouyu: Loop Engineering - Many people still use Claude Code, Codex, or Cursor like a chatbot: drop a prompt → wait for response → copy it out → fix bugs → drop a new prompt... cycle...

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Summary

Loop Engineering is a new methodology and open-source toolkit that replaces manual prompting of AI coding agents with automated loops. It provides pre-built patterns and CLI tools for tasks like PR review, CI checks, and dependency updates, enabling developers to design systems that autonomously direct agents.

Loop Engineering Now many people, when using Claude Code, Codex, or Cursor, still operate them like chatbots: Drop a prompt → wait for response → copy it out → fix bugs → drop a new prompt... cycle repeats. This repo tells you directly: Stop prompting manually all the time. Instead, design a loop that automatically issues commands to the agent and directs its work. It already provides several ready-made loops, such as: • Daily task routing loop • PR auto-review loop • CI check loop • Dependency update loop • Changelog writing loop • Post-merge auto-cleanup loop • Issue classification loop It also comes with several CLI tools that let you: • Scale the loop • Estimate token usage • Check if your repo is suitable • Add memory/state to the agent • Add manual intervention steps • Add validation gates • Run safely via GitHub Actions In the past, Prompt Engineering was about writing better instructions. Now, Loop Engineering is about building a system that lets the agent run, check, fix, and expand itself, while you just supervise at key points. https://github.com/cobusgreyling/loop-engineering…
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