專項更強Offers industry-leading reasoning and artifact generation, but lacks direct terminal-first integration and local preference memory.
Command Code 每月有 2,358,177 次造訪,月增率 -12.1%,定價模式為免費增值、需聯絡報價。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 | commandcode.ai | chromewebstore.google.com |
| 定價模式 | 免費增值、需聯絡報價 | 免費 |
| 每月造訪次數 | 235.82萬 (2,358,177) | 0 (0) |
| 月流量變化量 | -32.57萬 (-12.1%) | 0 (—) |
| 主要市場與市佔 | 🇨🇳 中國 (47%) | 🌐 全球 (—) |
| 每月直接造訪 | 174.96萬 | 0 |
| 使用者評分 | 4.3 | 3.9 |
| 支援平台 | 網站 | 瀏覽器擴充功能 |

會學習你編碼品味的 AI 編程代理
持續強化學習層把每一次採納、拒絕與手動編輯變成訊號,再把反覆出現的模式轉化為可重複使用的專案層級技能。
自動修復格式錯誤的工具呼叫,讓較弱的開放權重模型也能可靠完成代理循環,接近前沿模型的水準。
互動式 CLI 用於結對,無頭旗標用於腳本化,背景沙箱代理則用於更長時間的自主任務。
自訂 /agents 與持久化 /memory 跨工作階段攜帶專案上下文,讓你不必反覆解釋程式庫與規範。

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Offers industry-leading reasoning and artifact generation, but lacks direct terminal-first integration and local preference memory.
免費 / 開源Orchestrates multiple CLI coding agents in parallel git worktrees, but is less focused on single-user preference learning.