Warp 推出 Warp Factories：云软件工厂基础设施
Today, we introduced Warp Factories: flexible, open infrastructure for companies…
Today, we introduced Warp Factories: flexible, open infrastructure for companies building cloud software factories. Moving from interactive agents to automated development in the cloud is a big shift, but it's pretty clearly the right one. Here's why:
今天，我们推出了Warp Factories：为构建云软件工厂的公司提供的灵活、开放的基础设施。从交互式代理转向云端自动化开发是一个重大转变，但这显然是正确的方向。原因如下：
Over the past year, pretty much every engineering organization has made the transition from writing code by hand to writing code with agents. These agents are viewed as developer tools – every developer installs, configures, and operates them to produce PRs at an increasing rate.
在过去一年中，几乎每个工程组织都从手工编写代码转向使用代理编写代码。这些代理被视为开发者工具——每位开发者都安装、配置并操作它们，以越来越高的速率生成拉取请求。
While interactive agents do increase productivity, it's hard to measure ROI over time if every engineer is using different tooling on their own laptops. Plus, governance and control are a nightmare. Engineers install a variety of agents, each having access to all of the systems and MCPs they are logged into, creating security holes when agents go off the rails.
虽然交互式代理确实提高了生产力，但如果每位工程师都在自己的笔记本电脑上使用不同的工具，长期衡量投资回报率就变得困难。此外，治理和控制也是一场噩梦。工程师安装各种代理，每个代理都能访问他们登录的所有系统和MCP，当代理失控时，这会造成安全漏洞。
The solution to these problems is cloud software factories: an automation loop around the SDLC, where cloud agents triage, spec, implement, review, verify and monitor work.
解决这些问题的方案是云软件工厂：围绕软件开发生命周期的自动化循环，其中云代理负责分诊、规格说明、实现、审查、验证和监控工作。
The goal is to start automating some percentage of your easier work as soon as possible. At Warp, we are automating about 30% of our tasks through our factories and expect this number to rise quickly in the next few months.
目标是尽快开始自动化一部分较简单的工作。在Warp，我们通过工厂自动化了约30%的任务，并预计在未来几个月内这一数字将迅速上升。
This idea of moving agents to the cloud may not be new to you. Most organizations I chat with have at least a few engineers building the components of cloud factories, even though they might not think in "factory" terms.
将代理移至云端这一想法可能对你来说并不新鲜。与我交流的大多数组织至少有几名工程师在构建云工厂的组件，即使他们可能不按“工厂”的术语来思考。
The problem with the build-it-yourself approach is that getting to a scalable, solid system that improves over time and solves all the problems of interactive agents is actually a big endeavor. We've spoken to companies allocating months of work with entire engineering teams to build their own internal factory.
自行构建方法的问题在于，要达到一个可扩展、稳固、随时间改进并解决交互式代理所有问题的系统，实际上是一项巨大的工程。我们与一些公司交流过，他们分配了数月的工作，由整个工程团队来构建自己的内部工厂。
These are the must-haves you'll probably end up with:
这些是你最终可能必须具备的要素：
- Build your factory as code: Define agents, automations, and workflows in version-controlled code, with everything accessible through the API, SDK, and CLI. - Connections for everything: Ability to trigger agents from Slack, Linear, Jira, GitHub, and via MCP. - Customize every agent: Choose the model or harness, personalize its instructions, and give it the skills, MCPs, permissions, and context it needs. - Measure and improve over time: Track cost, quality, and throughput with built-in metrics, evals, and benchmarks, then use that data to continuously improve your factory. - AI Sovereignty: Own your data. Your software factory is a key competitive advantage of your business, and you should own everything associated with it.
- 将你的工厂构建为代码：在版本控制的代码中定义代理、自动化和工作流，所有内容均可通过 API、SDK 和 CLI 访问。 - 连接一切：能够从 Slack、Linear、Jira、GitHub 以及通过 MCP 触发代理。 - 定制每个代理：选择模型或框架，个性化其指令，并赋予其所需的技能、MCP、权限和上下文。 - 随时间衡量和改进：通过内置指标、评估和基准跟踪成本、质量和吞吐量，然后利用这些数据持续改进你的工厂。 - AI 主权：拥有你的数据。你的软件工厂是你业务的关键竞争优势，你应该拥有与之相关的一切。
We built Warp Factories with all of this in mind.
我们构建 Warp Factories 时考虑到了所有这些。
If that sounds interesting to you, we are onboarding a limited number of companies onto Warp Factories before opening the gates to the world. For select folks, we are offering $10k of factory usage to help get you started.
如果你对此感兴趣，我们在向世界开放之前，正在为有限数量的公司提供 Warp Factories 的入驻机会。对于选定的用户，我们提供 1 万美元的工厂使用额度，以帮助你入门。
Request early access: https://warp.dev/factories/request-access
请求早期访问：https://warp.dev/factories/request-access
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力