安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
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- Jules - An Asynchronous Coding Agent
Jules is an asynchronous agent that gets out of your way It lets you focus on the coding you want to do, meawnwhile picking up all the other random tasks that you rather not do
- Getting started | Jules
Jules is an experimental coding agent that helps you fix bugs, add documentation, and build new features It integrates with GitHub, understands your codebase, and works asynchronously — so you can move on while it handles the task This guide will walk you through setting up Jules and running your first task
- Environment setup | Jules
Jules runs each task inside a secure, short-lived virtual machine (VM) This lets it clone your repository, install dependencies, and run tests To make sure Jules can do its job effectively, you can provide setup scripts that prepare the environment
- FAQ | Jules
Jules is a software coding agent that helps you fix bugs, add documentation, update your app, and implement new features It integrates with GitHub and works asynchronously — meaning you can submit a task, go do something else, and return when it’s done
- Changelog | Jules
Today, we’re launching Jules, a new AI coding agent Jules helps you move faster by working asynchronously on tasks in your GitHub repo It can fix bugs, update dependencies, migrate code, and add new features
- Jules - Google Labs推出的AI编程智能体 | AI工具集
Jules是什么 Jules 是 Google Labs 推出的AI编程智能体，通过自动化技术提升开发效率。能根据任务描述自动生成代码，能复杂任务分解为多个步骤，逐步推进解决方案。Jules 能理解并导航代码库，定位关键模块，自动运行单元测试以确保代码更新的正确性。
- Running Tasks with Jules
Once you’ve logged in and connected GitHub, you’re ready to start coding with Jules This guide walks through the key steps of running a task — from selecting a repo to writing your prompt and setting up notifications
- Limits and usage | Jules
Learn more about how your data is used to improve Jules While Jules is free of charge today, we do expect to introduce pricing in the future We’ll share more details as the product matures Our focus is on building the right developer experience and learning from early adopters
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