AI 导读
Pari Singh 发布 Flow v3,一个面向物理工程的智能体平台,已秘密研发一年多,客户包括 Rivian、Joby、Astranis、Skydio、Radiant 等硬件公司。其核心创新是 Systems Graph,为每个智能体提供系统完整上下文,使需求变更能自动推入 CAD 和仿真工具并标记需重跑的测试,原本数月的迭代周期被压缩到数天。
正文
its been such fun befriending Pari and seeing him completely reinvent his company for the agentic era, WHILE having the most insanely stacked customer base I've ever seen in the hardest engineering domain of all.
Pari is creating a category that is only obvious in retrospect (the best kind of obvious) after you've had to build any complex physical things from rockets to cars, managing thousands of tiny design and supply chain details any one of which can derail your entire year.
what value do you put on that?
Agents have reached hardware. We are launching Flow v3, the Agentic Platform for Physical Engineering. We've spent over a year building it in secret, alongside the best hardware companies and AI research labs. An agent can now do real engineering work: change a requirement, push the update into your CAD and simulation tools, and flag every test that needs to rerun. Iterations/learning cycles that took months are being reduced to days. Agents are the biggest shift in how we engineer hardware since CAD. The core innovation for the CAD era was the parametric model. The core innovation for the Agentic Era is Flow's Systems Graph. The systems graph is a living model of every requirement, design model, test, analysis and every connection between them. It gives every agent the full context of the system, so every change stays consistent across the whole design. Engineers and agents work side by side on the same system. Engineers get to focus on architecture - the decisions that matter -while thousands of agents churn through rewriting reports, rerunning analysis and simulation, and triggering tests. Reusable rockets, self-driving cars, small modular reactors, robots that make decisions, the most complex machines ever built, are defined by millions of interconnected requirements, far beyond what any human team can keep aligned on its own. Rivian, Joby, Astranis, Skydio, Radiant, and the most ambitious hardware programs already build on Flow. More on the launch in the comments. @buildonfloweng Video在 X 查看被引用的帖子
来源:@swyx · x.com