Boris Cherny· @bcherny · X·· 2026-06-08AI 评分57
AI 导读
多项基准显示 Claude Opus 是长时间运行工作的最佳模型。SWE-Marathon 基准评估编码智能体在 10 亿 token 预算下自主完成长期软件任务（如重写 JAX 代码为 PyTorch、用 Rust 构建 C 编译器）。Opus 在此类任务上领先。Boris Cherny 给出 5 个技巧：使用自动权限模式避免审批；用动态工作流协调数百/数千个智能体；用 /goal 或 /loop 推动持续执行；在云端使用 Claude Code（桌面/移动端）以便关闭笔记本；确保 Claude 能端到端自验证——Chrome 扩展验证网页、iOS/Android 模拟 MCP、启动完整后端服务。
正文 · 原文
Seeing a number of benchmarks showing Opus is the best model for long-running work.
Five tips for running Opus autonomously for hours/days:
- Use auto mode for permissions, so Claude doesn’t ask for approval
- Use dynamic workflows, to have Claude orchestrate hundreds/thousands of agents to get a task done
- Use /goal or /loop, to nudge Claude to keep going until it’s done
- Use Claude Code in the cloud, so you can close your laptop (easiest way is the desktop or mobile app)
- Make sure Claude has a way to self-verify its work end to end: Claude in Chrome browser extension for web, iOS/Android sim MCP for mobile, a way to start the full web server or service for backend work
Can coding agents stay coherent over a 1 billion token budget? Can they build Slack from scratch? Rewrite a JAX codebase in PyTorch? Build a C compiler in Rust? Enter SWE-Marathon: a benchmark for autonomous long-horizon software work.在 X 查看被引用的帖子
来源：Boris Cherny · x.com