Claude Code

As a developer who maintains multiple open-source projects on GitHub, my daily work goes far beyond writing code. I also deal with a constant stream of issues, PR reviews, releases, and other tasks that are tedious but critical. As projects grow, this workload quickly exceeds what one person can handle efficiently.

Over the past few months, I’ve integrated Claude Code and GitHub Copilot Review into my daily development workflow, and the results have been remarkable — tasks that used to take half a day now often get done in 1-2 hours. This post shares my complete workflow and explains why I believe the developer’s own technical ability is the key to using AI tools effectively.

身為一個在 GitHub 上長期維護多個開源專案的開發者，我每天面對的不只是寫程式，還有大量的 Issue 處理、PR Review、版本發佈等瑣碎但重要的工作。隨著專案規模成長，這些工作量已經遠超一個人能高效處理的範圍。

過去一段時間，我開始將 Claude Code 和 GitHub Copilot Review 整合進我的日常開發流程，結果讓我非常驚艷——原本需要半天的工作，現在經常在 1-2 小時內就能完成。這篇文章將分享我的完整流程，以及為什麼我認為開發者本身的技術能力，才是善用 AI 工具的關鍵。