Anthropic Claude Code Projects
Anthropic Launches Claude Code Projects in Beta: Parallel Cloud Sessions That Keep Running After You Close Your Laptop
Agent 开发者的重大效率工具更新,并行云端会话与自动 CI 修复机制值得直接上手测试。
Anthropic redesigned Projects in Claude Code. The old project was a folder: some files plus one chat. The new one is a single ongoing conversation where Claude acts as coordinator. You describe work, and Claude decides what becomes a thread. Each thread is a full Claude Code cloud session running on its own branch and its own copy of the repository. Threads run in parallel, report back to the conversation, and keep going after you close your laptop. Anthropic’s launch post calls it one conversation that splits itself into parallel cloud sessions.
Anthropic 重新设计了 Claude Code 中的 Projects。旧版项目是一个文件夹:包含一些文件和一个聊天窗口。新版则是一个持续的对话,Claude 担任协调者。你描述工作内容,Claude 决定哪些内容成为线程(thread)。每个线程都是一个完整的 Claude Code 云会话,在独立的分支和仓库副本上运行。线程并行执行,向主对话汇报结果,即使你合上笔记本电脑也会继续运行。Anthropic 的发布博文称其为“一个能自动拆分为多个并行云会话的对话”。
Coordinator and threads
协调者与线程
The architecture has two layers. The project conversation is the coordinator. It reads what you send, answers quick questions in place, and starts threads for actual work. It sees what threads report back, not every step they take. Threads are the workers. A thread opens a pull request when the work calls for one, then watches that pull request with auto-fix enabled. It pushes fixes when CI fails and replies when checks pass.
该架构分为两层。项目对话作为协调者,它读取你发送的内容,就地回答简单问题,并为实际工作启动线程。它只查看线程的汇报结果,而非其每一步操作。线程是执行者。当工作需要时,线程会创建拉取请求(PR),并启用自动修复功能持续监控该 PR。CI 失败时推送修复,检查通过时回复确认。
Threads delegate too. Each can split its assignment further using subagents, loops and workflows.
线程也可进行委派。每个线程可使用子代理、循环和工作流进一步拆分任务。
Anthropic’s own example: set a goal to reduce checkout p75 latency, then ask Claude to profile each endpoint, test optimizations and open pull requests in parallel threads. A second example retires a deprecated v1 endpoint across API, web and mobile repositories, one thread each, with Claude reporting which pull requests merge first.
Anthropic 自身的示例:设定降低结账 p75 延迟的目标,然后让 Claude 对每个端点进行性能分析,测试优化方案,并在并行线程中打开拉取请求。第二个示例是在 API、Web 和移动应用仓库中废弃旧的 v1 端点,每个仓库一个线程,由 Claude 报告哪些拉取请求最先合并。
When two threads touch the same code, the overlap surfaces as an ordinary git merge conflict.
当两个线程修改了相同的代码时,重叠部分会以普通的 Git 合并冲突形式呈现。
Interactive: how a Claude Code project routes workClick a task. Watch the coordinator answer in place, save memory, or open a cloud thread on its own branch.
交互方式:Claude Code 项目如何路由工作点击任务。观察协调者就地回答、节省内存,或在独立分支上打开云线程。
Modeled on Anthropic’s Claude Code projects documentation. Thread timings are illustrative. © Marktechpost
基于 Anthropic 的 Claude Code 项目文档建模。线程时间仅为示意。© Marktechpost
What every thread inherits
每个线程继承的内容
Standing context is set once and reaches each new thread: the project's repositories and uploaded files, its project instructions of up to 16,000 characters, and project memory that Claude writes and reads through a MEMORY.md index. Memory in practice: the release moved to Friday, or who to check with before touching billing.
固定上下文仅设置一次,即可传递给每个新线程:包括项目的仓库和上传的文件、最多 16,000 字符的项目指令,以及 Claude 通过 MEMORY.md 索引写入和读取的项目记忆。实际记忆示例:发布日期改到了周五,或处理账单前需与谁确认。
Each thread also clones every project repository and loads CLAUDE.md, skills and plugins from all of them. Permission rules, hooks and env behave differently. They apply only from the directory the thread starts in, so a single repository project honors them and a multi repository project does not. MCP tools arrive through the connectors on your claude.ai account. The project conversation itself has no connectors, so connector work must go to a thread.
每个线程还会克隆所有项目仓库,并从这些仓库中加载 CLAUDE.md、技能和插件。权限规则、钩子和环境变量行为不同。它们仅从线程启动的目录生效,因此单个仓库项目会遵守这些规则,而多仓库项目则不会。MCP 工具通过你 claude.ai 账户上的连接器传入。项目对话本身没有连接器,因此连接器工作必须交由线程处理。
The Overview pane groups threads by state: Ready for review, Waiting on you, Working, Landing, Idle and Resolved. A Library tab collects uploaded files and files the threads produced.
概览窗格按状态对线程进行分组:待审查、等待你的操作、进行中、落地、空闲和已解决。一个“库”标签页收集上传的文件以及线程生成的文件。
What it costs
费用情况
A project uses plan limits faster than a single session, because every running thread is a full session. Anthropic exposes a per project Usage tab plus separate model and effort settings for the coordinator and for threads. A new project runs Opus everywhere, high effort for threads and low effort for the conversation. Idle threads also wake and spend again when CI fails or a review comment lands. The enforced ceiling is 200 new threads per day across your projects, and a thread that hits a usage limit waits and resumes on its own.
由于每个运行的线程都是一个完整的会话,项目的计划配额消耗速度比单个会话更快。Anthropic 提供了按项目划分的用量标签页,以及针对协调器和线程的独立模型与努力程度设置。新项目在所有场景下均使用 Opus 模型,线程采用高努力程度,对话采用低努力程度。当 CI 失败或收到审查评论时,空闲线程也会唤醒并重新消耗配额。强制上限为各项目每天最多创建 200 个新线程;达到用量限制的线程会自动等待并在条件满足后恢复执行。
Key Takeaways
关键要点
- One project is one conversation, and Claude starts a thread per piece of work.
- Every thread is a full cloud session with its own branch and repository copy.
- Shared project memory and instructions reach every new thread automatically.
- Parallel threads burn plan limits faster, with a cap of 200 new threads per day.
- Beta is limited to select Pro and Max users on web and desktop, not the CLI.
- 一个项目对应一次对话,Claude 会为每项工作任务启动一个线程。
- 每个线程都是一个完整的云端会话,拥有自己的分支和仓库副本。
- 共享的项目记忆和指令会自动传递给每个新线程。
- 并行线程会更快消耗计划配额,每日新建线程上限为 200 个。
- Beta 版仅限网页端和桌面端的部分 Pro 及 Max 用户可用,不支持 CLI。
Check out the Anthropic announcement, Claude Code projects documentation and @ClaudeDevs launch post. All credit goes to the researcher of this project. Also, feel free to follow us on Twitter and don’t forget to join our 150k+ML SubReddit and Subscribe to our Newsletter. Wait! are you on telegram? now you can join us on telegram as well.
请参阅 Anthropic 的公告、Claude Code 项目文档以及 @ClaudeDevs 的发布帖。本项目的所有功劳归于该项目的研究者。此外,欢迎在 Twitter 上关注我们,别忘了加入我们拥有 15 万+成员的 ML SubReddit 并订阅我们的新闻通讯。等等!你在 Telegram 上吗?现在你也可以加入我们的 Telegram 群组。
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The post Anthropic Launches Claude Code Projects in Beta: Parallel Cloud Sessions That Keep Running After You Close Your Laptop appeared first on MarkTechPost.
文章《Anthropic 推出 Claude Code 项目 Beta 版:合上笔记本电脑后仍在运行的并行云端会话》首发于 MarkTechPost。
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