Anthropic 升级 Claude Code Projects,支持免手动并行运行 AI 工作器
Anthropic Upgrades Claude Code Projects to Run Parallel AI Workers Hands-Free

原始链接: https://alphasignal.ai/news/anthropic-upgrades-claude-code-projects-to-run-parallel-ai-workers-hands-free

Anthropic 更新了 Claude Code Projects,以减少在并行云会话中的监控。一个项目是与协调器的长期对话,协调器会将工作分配给独立线程;每个线程都有自己的仓库副本和 Git 分支。协调器现在会在项目聊天中回答问题并发布状态更新,将待决决策、已完成任务和阻塞工作带入主对话。线程可通过只读链接与已登录用户共享,但访问过本地计算机的线程除外。`/park` 和 `/branch` 斜杠命令现已在 Projects 中可用,线程面板会高亮显示最近、已更新和置顶的线程,并显示产物缩略图。这些更改在网页、桌面和移动端可用。Projects 没有单独费用,但 worker 使用订阅者现有的 Claude Code 额度,且所有项目每天最多新建 200 个线程。达到使用限制的线程会暂停并自动恢复。新项目默认 coordinator 和 worker 都使用 Opus,coordinator 为低努力,worker 为高努力。Projects 适合通过分支和拉取请求协调的可拆分工程工作,而严格依赖仍需按顺序执行。它们仍仅支持云端且仅支持 Claude Code,小改动在常规会话中可能消耗更少资源。

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原文

Anthropic has updated Claude Code Projects with proactive coordinator messages, read-only thread sharing, reminders, branching commands, and improved artifact navigation. The changes reduce the monitoring required when several cloud sessions work in parallel.

Each project is a long-running conversation with a coordinator that assigns work to threads. Every thread runs as an independent Claude Code cloud session with its own repository copy and Git branch. The coordinator directs the project from thread reports, while overlapping code changes surface as standard Git merge conflicts when branches are combined.

The coordinator reports without prompting

The coordinator now answers questions directly in project chat and posts status updates as threads progress. Previously, developers had to monitor the thread list to find sessions waiting for input. The updated behavior brings pending decisions, completed tasks, and blocked work into the main conversation.

Individual threads can now be shared through read-only links with anyone signed in to Claude. A developer can open the thread menu, select Share, and send the generated URL without exposing the rest of the project.

Threads that accessed a local computer remain unshareable. The restriction prevents shared transcripts from exposing local file contents, shell output, or other machine data gathered during the session.

Park a thread or branch the work

The two slash commands were already available in regular Claude Code sessions. Their addition to Projects brings the same branching workflow to coordinated, multi-thread work.

Artifacts surface sooner

The threads panel now places recently opened, updated, and pinned threads in a row at the top. Each thread can also display thumbnails for generated documents, diagrams, and other artifacts, with the previews controlled through view settings.

The redesign simplifies project settings and local-folder access as well. Anthropic has released the changes on the web, desktop clients, and the latest mobile app.

Parallelism draws from the same allowance

Anthropic introduced the public beta on September 17 for Pro and Max subscribers who joined the waitlist. Team and Enterprise plans remain unsupported. Eligible subscribers who lack access can still join the waitlist.

Projects carry no separate fee, but every worker consumes the subscriber’s existing Claude Code allowance. Anthropic limits accounts to 200 new threads per day across all projects. A thread that reaches a usage limit pauses and resumes automatically when capacity becomes available.

Project usage appears separately in the usage controls, and developers can choose the model and effort level for the coordinator and worker threads. New projects default to Opus for both roles, with low effort for the coordinator and high effort for workers. Several high-effort sessions running at once can exhaust plan limits faster than a single Claude Code session.

Where many threads pay off

Projects fit engineering work that can be divided into independent tasks and reconciled through branches and pull requests. Anthropic’s examples include:

  • Performance work: Assign separate threads to profile endpoints, test optimizations, and open pull requests. A target such as p75 checkout latency refers to the response time at or below which 75% of requests finish.
  • Cross-repository migrations: Connect API, web, and mobile repositories, then create one thread per codebase and report the required merge order.
  • Batch changes: Distribute refactors, dependency upgrades, test repairs, or bug-triage items across parallel sessions.

Tasks with strict dependencies still require developers to sequence pull requests and resolve conflicts. Projects also remain cloud-only and limited to Claude Code, while parallel workers draw from the same plan limits. Small changes that fit one branch and one context window generally consume fewer resources in a regular Claude Code session.

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