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正面對決基準比較
Devin vs FileChangeCategorizer
Devin 每月有 2,549,346 次造訪，月增率 +1%，定價模式為付費。FileChangeCategorizer 每月有 0 次造訪，成長率 —，定價模式為免費。
Devin 每月有 2,549,346 次造訪，月增率 +1%，定價模式為付費。FileChangeCategorizer 每月有 0 次造訪，成長率 —，定價模式為免費。
FileChangeCategorizer is a lightweight Chrome extension that adds automatic file categorization to GitHub commit histories and pull request diffs. You define the rules once, and every changed file gets grouped and labelled the moment you open a pull request, so large diffs stop looking like an undifferentiated wall of paths.
| 面向／指標 | | |
|---|---|---|
| 官方網域 | devin.ai | chromewebstore.google.com |
| 定價模式 | 付費 | 免費 |
| 每月造訪次數 | 254.93萬 (2,549,346) | 0 (0) |
| 月流量變化量 | +2.54萬 (+1%) | 0 (—) |
| 主要市場與市佔 | 🇺🇸 美國 (28.1%) | 🌐 全球 (—) |
| 每月直接造訪 | 138.64萬 | 0 |
| 使用者評分 | 4.3 | 3.9 |
| 支援平台 | website | 瀏覽器擴充功能 |
Cognition 出品的自主軟體工程師，能直接提交可合併的 PR
Devin 能在複雜的多倉庫程式庫中規劃、撰寫程式、執行測試並提交 pull request，無需逐行等待確認。
Devin 會建立 Windows、Mac、Linux 虛擬機器，建置並執行專案，在真實瀏覽器中測試，甚至錄下自己操作新功能的畫面。
在討論串中 @Devin 即可派發修復任務，或接入 CI、PagerDuty 與工單系統，讓它自動回應失敗與告警。
把大型任務交給 Devin，它會拆分給平行雲端代理，即使你闔上筆電也會繼續工作並回報結果。
FileChangeCategorizer is a lightweight Chrome extension that adds automatic file categorization to GitHub commit histories and pull request diffs. You define the rules once, and every changed file gets grouped and labelled the moment you open a pull request, so large diffs stop looking like an undifferentiated wall of paths.
Define your own matching rules and let the extension sort changed files in commits and pull requests into labelled groups automatically.
The categorization is applied inside the GitHub commit and pull request views you already use, with no dashboard to switch to.
Nothing is committed to your codebase and no CI setup is required, because everything runs in the browser extension.
Groups of related files make sprawling diffs easier to scan and review in a logical order.
專項更強A general autonomous agent platform executing multi-step goals and browsers, suitable for broader web and coding workflows.
專項更強會學習你編碼品味的 AI 編程代理
免費 / 開源讓多個程式智能體在各自獨立的 worktree 中並行運作
