Yetone’s Magpie Maintenance Workflow Uses Three Claude Code Loops

What happened

Baoyu describes yetone’s workflow for maintaining Magpie with Claude Code and the official Opus 5.5 model, running three parallel /loop tasks for GitHub and Discord activity, X feedback, and code cleanup and lessons learned. Yetone says he spends a little time each evening handling mainly UI/UX issues. Supporting practices include reproducing bugs on Mac, Windows, and Linux, filtering irrelevant posts with a cheaper decision model such as Jev, and consulting stored memories and design documents to guide decisions.

The story so far

Bao Yu described Yetone’s Magpie maintenance workflow as three parallel Claude Code /loop tasks using the official Opus 5.5 model to monitor feedback and perform maintenance; Yetone says he now spends a little time each evening handling mainly UI/UX issues. According to Bao Yu, the loops cover GitHub issues and pull requests plus Discord activity, feedback on X, and code cleanup and lessons learned. The AI fixes bugs, adds features, releases updates and replies to users. The workflow requires the AI to reproduce bugs on Mac, Windows and Linux before fixing them, and uses a cheaper decision model such as Jev to filter irrelevant posts. Bao Yu said stored memories from Yetone’s early brainstorming with Claude Code, together with design documents, guide the AI’s decisions. He also advised defining how to handle unusual incoming messages before letting AI reply to users automatically.

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