GitHub Copilot vs Kilo Code：怎么选？
下面把两款工具的关键信息逐项放在一起对照。 两者同属「AI 编程」分类，属于直接竞品。
GitHub Copilot
GitHub 和 OpenAI 合作开发的一个 AI 工具，可以提供实时代码建议和自动代码补全。它可以帮助开发人员快速编写代码，并提高编码效率。
📊 参数逐项对照
| 对比项 | GitHub Copilot | Kilo Code |
|---|---|---|
| 价格模式 | 免费 | 免费 |
| 来源地区 | 🌍 国外 | 🌍 国外 |
| 所属分类 | AI 编程 | AI 编程 |
| 用户评分 | 暂无评分 | 暂无评分 |
| 热度（浏览量） | 63 | 121 |
| 付费说明 | — | — |
| 替代品 | GitHub Copilot 的替代品 → | Kilo Code 的替代品 → |
📖 详细介绍
GitHub Copilot 是什么？
关于 GitHub Copilot
Yes, GitHub Copilot is previewing acode referencing featureas an additional tool to assist users to find and review potentially relevant open source licenses. Code referencing is currently available in Visual Studio Code. This feature searches across public GitHub repositories for code that matches a Copilot suggestion. If there’s a match, users will find its information displayed in the Copilot console log, including where the match occurred, any applicable licenses, and a deep link to learn more. The deep link will take users to a navigable page on GitHub.com to browse examples of the code match and their repository licenses, and see how many repositories—including ones without licenses—that code appears in, as well as links to those repositories. Copilot users can review this information to determine whether the applicable suggestions are suitable for use, and whether additional measures may be necessary to use them.
Public code may contain insecure coding patterns, bugs, or references to outdated APIs or idioms. When GitHub Copilot synthesizes code suggestions based on this data, it can also synthesize code that contains these undesirable patterns. Copilot has filters in place that either block or notify users of insecure code patterns that are detected in Copilot suggestions. These filters target the most common vulnerable coding patterns, includinghardcoded credentials,SQL injections, andpath injections. Additionally, in recent years we’ve provided tools such as GitHub Advanced Security, GitHub Actions, Dependabot, and CodeQL to open source projects to help improve code quality. Of course, you should always use GitHub Copilot together with good testing and code review practices and security tools, as well as your own judgment.
GitHub Copilot is powered by generative AI models developed by GitHub, OpenAI, and Microsoft. It has been trained on natural language text and source code from publicly available sources, including code in public repositories on GitHub. Starting on April 24, GitHub may also use interactions from users with a Copilot Free, Copilot Pro, and Copilot Pro+ subscription - including inputs, outputs, code snippets, and associated context - to train and improve our AI models unless they have opted out. This allows us to build more intelligent, context-aware coding assistance for a more diverse set of coding tasks based on real-world development patterns. Users were notified 30 days before the change went into effect and can opt out from allowing their data to be used for training in their GitHub account settings at any time.
Kilo Code 是什么？
关于 Kilo Code
Kilo Code is where engineering work starts. KiloClaw is where your OpenClaw agent keeps working after the IDE closes: always-on, hosted, and connected to your channels.
Pick Efficient, Frontier, Balanced, or Free. Auto Model handles the routing behind the scenes, using the right model strategy for your budget and the work at hand.
GLM-5.2 from Z.ai has been one of the most talked-about open-weight models since it launched, and we have made it our daily driver to see how it holds up.