正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Hardware engineers spend 80% of their time reading datasheets and 20% actually building. We're flipping that. Introducing Claude Code but for Hardware.

Sajeel Purewal 🇨🇦 🇵🇰

3,123 subscribers

72,365 次观看 • 2 个月前 •via X (Twitter)

教育健康养生科学技术

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Firmware development is broken. Hardware companies spend months finding engineers, months reading datasheets, and months debugging. BootLoop built an AI agent that writes, tests, and debugs firmware on real hardware in minutes - not months. Congrats on the launch, Noah Pacik-Nelson & Chris Markus!

Firmware development is broken. Hardware companies spend months finding engineers, months reading datasheets, and months debugging. BootLoop built an AI agent that writes, tests, and debugs firmware on real hardware in minutes - not months. Congrats on the launch, Noah Pacik-Nelson & Chris Markus!

Y Combinator

16,758 次观看 • 1 年前

Excited to introduce you to Seb, the coding agent for hardware. Seb is trained for low level systems in highly-regulated environments. Thank you to the engineers and companies that already trust Seb with their hardware. The feedback from hundreds of Firmware, Embedded, and Hardware Engineers has been invaluable. If you are building new hardware or updating a legacy system, Seb is here to help. Get started today at And as a thank you from the Root Access team -- the first 100 engineers to use promo code RAGE50 get 50% off their first month of Pro!

Excited to introduce you to Seb, the coding agent for hardware. Seb is trained for low level systems in highly-regulated environments. Thank you to the engineers and companies that already trust Seb with their hardware. The feedback from hundreds of Firmware, Embedded, and Hardware Engineers has been invaluable. If you are building new hardware or updating a legacy system, Seb is here to help. Get started today at And as a thank you from the Root Access team -- the first 100 engineers to use promo code RAGE50 get 50% off their first month of Pro!

Ryan Eppley

55,181 次观看 • 3 个月前

We're building the hardware for the next era of AI and scientific discovery. XPU-G0. Coming 2026.

We're building the hardware for the next era of AI and scientific discovery. XPU-G0. Coming 2026.

Elias

10,629 次观看 • 8 个月前

introducing our click-and-nav agent! made with 6 lines of code and deployed on $100 hardware

introducing our click-and-nav agent! made with 6 lines of code and deployed on $100 hardware

chester

108,603 次观看 • 8 个月前

Most Software engineers really hate hardware or try it once and never again. So I built a tool that helps you generate, compile and run hardware simulations and it’s pretty cool. My hackathon entry for the build with opus 4.6 by Claude and Cerebral Valley

Most Software engineers really hate hardware or try it once and never again. So I built a tool that helps you generate, compile and run hardware simulations and it’s pretty cool. My hackathon entry for the build with opus 4.6 by Claude and Cerebral Valley

Jerry

43,882 次观看 • 5 个月前

AI Coding Agent for Hardware Optimized Code Diana AI hardware is still constrained by software. However, with reasoning models like Deepseek R1 or OpenAI o1 and o3, AI could generate hardware-optimized code that rivals—or surpasses—human CUDA code.

AI Coding Agent for Hardware Optimized Code Diana AI hardware is still constrained by software. However, with reasoning models like Deepseek R1 or OpenAI o1 and o3, AI could generate hardware-optimized code that rivals—or surpasses—human CUDA code.

Y Combinator

60,117 次观看 • 1 年前

nobody tells you this... but a reason we don't have cool new technology is because hardware compliance sucks cue Normal. we're automating testing and certification for hardware teams

nobody tells you this... but a reason we don't have cool new technology is because hardware compliance sucks cue Normal. we're automating testing and certification for hardware teams

anson ⁂

224,336 次观看 • 11 个月前

Engineers spend 70% of their time understanding code, not writing it. That’s why we built Asimov at Reflection. The best-in-class code research agent, built for teams and organizations.

Engineers spend 70% of their time understanding code, not writing it. That’s why we built Asimov at Reflection. The best-in-class code research agent, built for teams and organizations.

Misha Laskin

370,022 次观看 • 1 年前

The first actual dogeboxes (hardware) have landed at the office, meaning we can be building/testing on the actual hardware now 🔥 Before folk ask, we're still a couple of months away from the first beta release (aiming for June/July), but it's coming along nicely 🐾

The first actual dogeboxes (hardware) have landed at the office, meaning we can be building/testing on the actual hardware now 🔥 Before folk ask, we're still a couple of months away from the first beta release (aiming for June/July), but it's coming along nicely 🐾

Timothy Stebbing

20,515 次观看 • 2 年前

Introducing Hark, an AI lab building the most advanced, personal intelligence in the world. We're creating intelligent foundation models paired with next generation hardware designed to serve as a universal interface between humans and machines.

Introducing Hark, an AI lab building the most advanced, personal intelligence in the world. We're creating intelligent foundation models paired with next generation hardware designed to serve as a universal interface between humans and machines.

Hark

89,257 次观看 • 4 个月前

Exclusive | Zoo: Text-to-CAD w/ @theJordanNoone AI Revolutionizes Hardware Development Jordan dives into: - Why Zoo started by building a novel geometry engine - How the founding team’s background led to Zoo’s products - The impact of generative AI on hardware design - Zoo’s expansion from software for hardware design, to software for the full hardware development cycle - Why they open sourced their software Full pod, memo, slides from their deck, docs, & more linked in Sourcery below

Exclusive | Zoo: Text-to-CAD w/ @theJordanNoone AI Revolutionizes Hardware Development Jordan dives into: - Why Zoo started by building a novel geometry engine - How the founding team’s background led to Zoo’s products - The impact of generative AI on hardware design - Zoo’s expansion from software for hardware design, to software for the full hardware development cycle - Why they open sourced their software Full pod, memo, slides from their deck, docs, & more linked in Sourcery below

Molly O’Shea

76,119 次观看 • 2 年前

We’ve been building this in secret for a while. We love Claude Code, and we’ve reimplemented “Claude Code” in Genspark. Introducing Genspark AI Developer - “Claude Code” in the browser - “Claude Code” on mobile - Everyone can build, no coding experience required - Supports multiple frontier models: Claude Sonnet 4, Claude Opus 4.1, GPT‑5, Kimi + Groq 1/4

We’ve been building this in secret for a while. We love Claude Code, and we’ve reimplemented “Claude Code” in Genspark. Introducing Genspark AI Developer - “Claude Code” in the browser - “Claude Code” on mobile - Everyone can build, no coding experience required - Supports multiple frontier models: Claude Sonnet 4, Claude Opus 4.1, GPT‑5, Kimi + Groq 1/4

Eric Jing

23,246,042 次观看 • 11 个月前

AI designs functional hardware! 🔧 Claude Opus 4.7 is leading CAD benchmarks, and AI is starting to design functional hardware autonomously. The shift happening: CAD as a tool → CAD as an autonomous system. The model didn't just sketch geometry, it generated mechanically valid designs with joints and motion constraints. It optimized for real-world functionality, not just visual correctness like earlier LLMs. This mirrors what happened in coding last year. In software, engineers moved toward requirements, architecture, and orchestration while code became the compiled outcome of AI systems. Mechanical engineering may follow the same path: from designing parts → defining intent. This changes the role of engineering teams. Instead of manually designing every component, engineers will define constraints, validate outputs, and focus on system-level architecture. Engineers spend less time on geometry and more time on optimization and integration. AI handles the mechanical validity checks that traditionally required experienced designers. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

AI designs functional hardware! 🔧 Claude Opus 4.7 is leading CAD benchmarks, and AI is starting to design functional hardware autonomously. The shift happening: CAD as a tool → CAD as an autonomous system. The model didn't just sketch geometry, it generated mechanically valid designs with joints and motion constraints. It optimized for real-world functionality, not just visual correctness like earlier LLMs. This mirrors what happened in coding last year. In software, engineers moved toward requirements, architecture, and orchestration while code became the compiled outcome of AI systems. Mechanical engineering may follow the same path: from designing parts → defining intent. This changes the role of engineering teams. Instead of manually designing every component, engineers will define constraints, validate outputs, and focus on system-level architecture. Engineers spend less time on geometry and more time on optimization and integration. AI handles the mechanical validity checks that traditionally required experienced designers. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

25,458 次观看 • 3 个月前

The most important technology of our time is being built in private, but we're funding the alternative: $42M for the people building AGI in the open. Whether it's the model, weights, code, data, or evals, AI should belong to the people it serves, run on hardware they own, and reach the cheapest phone on earth. Here’s a few of the use cases we want to back ↓

The most important technology of our time is being built in private, but we're funding the alternative: $42M for the people building AGI in the open. Whether it's the model, weights, code, data, or evals, AI should belong to the people it serves, run on hardware they own, and reach the cheapest phone on earth. Here’s a few of the use cases we want to back ↓

Sentient Foundation

87,084 次观看 • 1 个月前

A few days ago we got in YC W26, and here is we are working on. Building hardware is hard, but I really like a quote from Yuke Zhu: “People who are really serious about robot learning should make their own robot hardware.”

A few days ago we got in YC W26, and here is we are working on. Building hardware is hard, but I really like a quote from Yuke Zhu: “People who are really serious about robot learning should make their own robot hardware.”

Quanting Xie

125,463 次观看 • 6 个月前

We are introducing a revolutionary approach to building radio networks - Nokia anyRAN. Together with leading partners, we bring flexibility in choice of hardware, cloud infrastructure and data center solutions for running #CloudRAN. Read more: #MWC23

We are introducing a revolutionary approach to building radio networks - Nokia anyRAN. Together with leading partners, we bring flexibility in choice of hardware, cloud infrastructure and data center solutions for running #CloudRAN. Read more: #MWC23

Nokia

19,480 次观看 • 3 年前

This holiday, give lasting value with Trezor hardware wallets and gift bundles that protect your assets. • FREE worldwide shipping (code: HOLIDAY25) • Up to 25% off limited bundles • Up to 30% off hardware wallets Don't settle for socks. 👉

This holiday, give lasting value with Trezor hardware wallets and gift bundles that protect your assets. • FREE worldwide shipping (code: HOLIDAY25) • Up to 25% off limited bundles • Up to 30% off hardware wallets Don't settle for socks. 👉

Trezor

42,749 次观看 • 7 个月前

Emm...Claude Code Claude source leaked. On X: 500 "10 things I learned" threads You: could just throw the repo into Qoder Repo Wiki and actually understand the codebase yourself. Architecture, agent patterns, tool orchestration...all mapped out. In minutes. For free. Agent builders & harness engineers: stop reading secondhand summaries. Go read the code. 20s demo 👇

Emm...Claude Code Claude source leaked. On X: 500 "10 things I learned" threads You: could just throw the repo into Qoder Repo Wiki and actually understand the codebase yourself. Architecture, agent patterns, tool orchestration...all mapped out. In minutes. For free. Agent builders & harness engineers: stop reading secondhand summaries. Go read the code. 20s demo 👇

Qoder

12,458 次观看 • 4 个月前

New Xbox Interview with Gamertag Radio | Phil Spencer On Xbox first party games: "We love our platform and our hardware but we're not going to put walls up where people can engage with the great games our studios are building(...)our games will show up in more places, no doubt". On why gamers should buy an Xbox: "I want people to pick hardware based on the capabilities of that hardware and the choices that they want to make about where they want to play. We want our hardware to win based on the capabilities that we have(...)hardware critical and fundamental to what Xbox is - not trying to gatekeep the games off different places". Watch the full Interview here ➡️ #Xbox

New Xbox Interview with Gamertag Radio | Phil Spencer On Xbox first party games: "We love our platform and our hardware but we're not going to put walls up where people can engage with the great games our studios are building(...)our games will show up in more places, no doubt". On why gamers should buy an Xbox: "I want people to pick hardware based on the capabilities of that hardware and the choices that they want to make about where they want to play. We want our hardware to win based on the capabilities that we have(...)hardware critical and fundamental to what Xbox is - not trying to gatekeep the games off different places". Watch the full Interview here ➡️ #Xbox

Shinobi602

728,805 次观看 • 1 年前