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健康狀態 健康來源類型 官方原文權限 官方原文最近入庫 2026-09-25ID github-ai-ml運行狀態 已啟用

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最新公開文章

待翻譯:GitHub Copilot app for Beginners: How to build custom workflows with canvases

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Describe the interface you need in plain English, then let the agent build a live surface you can both use and update—so you spend less time adapting to tools and more time getting work done. The post GitHub Copilot app for Beginners: How to build custom workflows with canvases appeared first on The GitHub Blog.

GitHub AI & ML站內正文待翻譯:GitHub Copilot app for Beginners: How to build custom workflows with canvases

待翻譯:When chat is the wrong UI

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:What is a developer to do when they need something more tangible than a chat box? Enter canvases. The post When chat is the wrong UI appeared first on The GitHub Blog.

GitHub AI & ML站內正文待翻譯:When chat is the wrong UI

待翻譯:AI-powered fuzzing with the GitHub Security Lab Taskflow Agent

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:In this blog post, I explain how to use the new fuzzing taskflow based on the GitHub Security Lab Taskflow Agent AI framework. The post AI-powered fuzzing with the GitHub Security Lab Taskflow Agent appeared first on The GitHub Blog.

GitHub AI & ML站內正文待翻譯:AI-powered fuzzing with the GitHub Security Lab Taskflow Agent

待翻譯:Rendering huge pull requests in the GitHub Copilot app

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:How we rebuilt the diff surface in the GitHub Copilot app to open a million-line pull request with hundreds of inline review comments. The post Rendering huge pull requests in the GitHub Copilot app appeared first on The GitHub Blog.

GitHub AI & ML站內正文待翻譯:Rendering huge pull requests in the GitHub Copilot app

待翻譯:Should you read the code, is RAG dead, and did Skills kill MCP?

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:We dive into these questions and other AI hot takes on the latest episode of the GitHub Podcast. The post Should you read the code, is RAG dead, and did Skills kill MCP? appeared first on The GitHub Blog.

GitHub AI & ML站內正文待翻譯:Should you read the code, is RAG dead, and did Skills kill MCP?

待翻譯:Migrating the GitHub Copilot runtime to Rust, using Copilot

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:A rewrite this size wasn't affordable before agents. Here's what porting the Copilot agent runtime to 800,000 lines of production Rust actually took. The post Migrating the GitHub Copilot runtime to Rust, using Copilot appeared first on The GitHub Blog.

GitHub AI & ML站內正文待翻譯:Migrating the GitHub Copilot runtime to Rust, using Copilot

待翻譯:Marketing ops as code: Automating events from planning to follow-up on GitHub

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:If you can write down how you do your work, you can automate it. Here's what I did to support GitHub's APAC marketing team. The post Marketing ops as code: Automating events from planning to follow-up on GitHub appeared first on The GitHub Blog.

GitHub AI & ML站內正文待翻譯:Marketing ops as code: Automating events from planning to follow-up on GitHub

待翻譯:GitHub Copilot app for Beginners: Using the diff, terminal, and browser

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Checking agent-generated code usually means hopping between tabs. Learn how to view diffs, run terminal commands, and preview web apps side by side in the GitHub Copilot app. The post GitHub Copilot app for Beginners: Using the diff, terminal, and browser appeared first on The GitHub Blog.

GitHub AI & ML站內正文待翻譯:GitHub Copilot app for Beginners: Using the diff, terminal, and browser

Project HydraFusion:透過多模型編排實現前沿品質

GitHub 釋出 Project HydraFusion 研究預覽,透過自動在多個提供商的模型之間編排“單模型、級聯、批判”等工作流,為編碼任務平衡質量、成本和延遲。離線評估顯示,在保持前沿質量的同時可將估算工作流成本降低約 36%–67%。

GitHub AI & ML站內正文Project HydraFusion:透過多模型編排實現前沿品質

GitHub Copilot 應用初學者指南:一次執行多個代理

瞭解如何在 GitHub Copilot 應用中並行執行多個代理,體驗這種從感到混亂到掌控全域性的轉變。每個代理會話獨立執行,互不干擾,讓你在更短時間內完成更多工。

GitHub AI & ML站內正文GitHub Copilot 應用初學者指南:一次執行多個代理

我們如何在保證任務質量的同時讓 AI 編碼更具成本效益

GitHub 部落格介紹了 Copilot 降低 AI 編碼成本的四個實踐:不要只看單次工具呼叫的 token 數,而應從完整任務出發。透過選擇性壓縮噪音輸出、刪除不再使用的行號格式、用行為測試保護提示詞壓縮、以及批次直接交付後臺完成結果,團隊在離線/線上實驗中讓推理成本或 token 用量下降約 1–5%,且未出現質量回退。

GitHub AI & ML站內正文我們如何在保證任務質量的同時讓 AI 編碼更具成本效益

待翻譯:GitHub Copilot app for Beginners: Automate Dependabot pull request triage

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Managing library updates can be tedious at times. Learn how the GitHub Copilot app can handle this type of repetitive task. The post GitHub Copilot app for Beginners: Automate Dependabot pull request triage appeared first on The GitHub Blog.

GitHub AI & ML站內正文待翻譯:GitHub Copilot app for Beginners: Automate Dependabot pull request triage

待翻譯:How to evaluate LLMs before production

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:These are the lessons we learned evaluating LLMs for real-world secret scanning. The post How to evaluate LLMs before production appeared first on The GitHub Blog.

GitHub AI & ML站內正文待翻譯:How to evaluate LLMs before production

待翻譯:GitHub Copilot app for Beginners: Managing your work

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:If you’re juggling multiple Copilot sessions, use the My work pane to track what's in flight, what's done, and what's next. The post GitHub Copilot app for Beginners: Managing your work appeared first on The GitHub Blog.

GitHub AI & ML站內正文待翻譯:GitHub Copilot app for Beginners: Managing your work

待翻譯:How canvases make agentic workflows visible, steerable, and cost-efficient

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Chat is great for intent, but agent work gets lost in the scroll. Here is how I use canvases with my agentic workflows—and why your workflow also deserves a canvas. The post How canvases make agentic workflows visible, steerable, and cost-efficient appeared first on The GitHub Blog.

GitHub AI & ML站內正文待翻譯:How canvases make agentic workflows visible, steerable, and cost-efficient

如何藉助 Agent 應用將軟體交付工作流引入 GitHub

GitHub Agent 應用讓開發者無需離開 GitHub,即可在 Issue、PR 評論和 Agents 標籤頁中直接呼叫 Amplitude、Endor Labs、LaunchDarkly 和 PagerDuty 等服務。文章以一個登入引導流程的改動為例,展示了四個 Agent 如何分別幫助確認需求、檢查依賴、配置功能開關並評估部署風險,同時保留人工審查與審批。

GitHub AI & ML站內正文如何藉助 Agent 應用將軟體交付工作流引入 GitHub

待翻譯:Write your first prompt with the GitHub Copilot app

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Learn how to write your first prompt in the GitHub Copilot app, choose the right context and model, and start your first task with confidence. The post Write your first prompt with the GitHub Copilot app appeared first on The GitHub Blog.

GitHub AI & ML站內正文待翻譯:Write your first prompt with the GitHub Copilot app

待翻譯:Using the GitHub Copilot SDK for Java

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Enterprise Java developers have a new superpower—drive GitHub Copilot from idiomatic Java code with annotations, virtual threads, and more. The post Using the GitHub Copilot SDK for Java appeared first on The GitHub Blog.

GitHub AI & ML站內正文待翻譯:Using the GitHub Copilot SDK for Java

待翻譯:A guide to slash commands in the GitHub Copilot app

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Go beyond chat in the GitHub Copilot app with these slash commands. They'll help you plan, collaborate, automate, and customize your dev workflow. The post A guide to slash commands in the GitHub Copilot app appeared first on The GitHub Blog.

GitHub AI & ML站內正文待翻譯:A guide to slash commands in the GitHub Copilot app

待翻譯:How the GitHub legal team used Copilot CLI to streamline their workflows

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Learn how to build tools to simplify how you work—without writing a single line of code. The post How the GitHub legal team used Copilot CLI to streamline their workflows appeared first on The GitHub Blog.

GitHub AI & ML站內正文待翻譯:How the GitHub legal team used Copilot CLI to streamline their workflows

GitHub Copilot應用中的堆疊會話和拉取請求

本文介紹了作者如何使用GitHub Copilot應用的堆疊會話和拉取請求功能,成功現代化了一個古老的前端專案。透過分階段處理依賴升級、樣式重構和元件替換,避免了範圍蔓延,實現了高效的程式碼迭代。

GitHub AI & ML站內正文GitHub Copilot應用中的堆疊會話和拉取請求

掌握工具本身(大部分情況下)就夠了

面對層出不窮的AI工具感到不知所措?本文分享一個基於GitHub Copilot的簡單工作流程,透過原型設計、規劃、實施和審查,無需追逐新工具即可大幅提升AI使用效率。要點包括:選擇一個工具、開啟YOLO模式、從原型開始、有條理地規劃、使用Autopilot實施,以及人工審查與迭代。

GitHub AI & ML站內正文掌握工具本身(大部分情況下)就夠了

GitHub Copilot 應用初學者指南:入門

GitHub Copilot 應用可以幫助你啟動專案、與 AI 代理協作、探索畫布並簡化開發流程。本文介紹如何開始使用。

GitHub AI & ML站內正文GitHub Copilot 應用初學者指南:入門

Copilot與原始API訪問:你實際在為什麼付費?

GitHub Copilot現以API費率計費。本文對比了直接模型訪問與圍繞編碼工作流、策略和工具的Copilot方案,幫助開發者根據自身需求選擇。

GitHub AI & ML站內正文Copilot與原始API訪問:你實際在為什麼付費?

如何利用畫布構建互動式體驗

GitHub Copilot的“畫布”擴充套件將AI從對話工具轉變為視覺化、可互動的工作空間。開發者可以透過提示建立自定義畫布,用於問題分類、程式碼視覺化、會話管理、提示最佳化以及知識查詢等任務。畫布支援即時協作,允許使用者和AI代理在同一介面上共同迭代。

GitHub AI & ML站內正文如何利用畫布構建互動式體驗

更好的工具反而讓Copilot程式碼審查變得更糟,我們是這樣改進的

將Copilot程式碼審查遷移到共享的Unix風格程式碼探索工具後,審查成本上升且發現的問題減少。問題不在工具,而在指令。透過重寫指令以適配審查者工作流,平均審查成本降低了約20%,同時保持了審查質量。

GitHub AI & ML站內正文更好的工具反而讓Copilot程式碼審查變得更糟,我們是這樣改進的

使用GitHub Agentic Workflows實現跨倉庫文件自動化

Aspire團隊透過GitHub Agentic Workflows實現了從產品PR合併到文件PR的自動化流程,中位時間44.8小時,100%合併率,顯著縮短了文件滯後時間。

GitHub AI & ML站內正文使用GitHub Agentic Workflows實現跨倉庫文件自動化

GitHub Copilot 如何實現 GitHub Pages 零 DNS 配置

本文介紹如何利用 GitHub Copilot CLI 和 Namecheap 技能,在大約 14 分鐘內完成從空倉庫到在自定義域名上啟用 HTTPS 的網站部署,而無需手動編輯任何 DNS 記錄。

GitHub AI & ML站內正文GitHub Copilot 如何實現 GitHub Pages 零 DNS 配置

我將工作自動化了(這讓我成為更好的領導者)

GitHub高階總監分享如何使用40個自動化工具管理工作流程,騰出精力專注於真正重要的事。她介紹了自動化如何幫助她處理會議準備、跟蹤承諾、保持團隊一致等,特別是作為一名ADHD和自閉症患者,自動化成為她重要的輔助工具。

GitHub AI & ML站內正文我將工作自動化了(這讓我成為更好的領導者)

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