Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Simulation-first approach to robotic production lines! 👾 At Hannover Messe, Amazon Web Services (AWS) and SoftServe are demonstrating a fully autonomous, AI-powered manufacturing workflow. Design a product using generative AI, then watch it move through the entire process: engraving, inspection, and delivery, handled by a mix of robots working...

lukas_m_ziegler's profile picture

Lukas Ziegler

52,729 subscribers

17,709 Aufrufe • vor 2 Monaten •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

manufacturing is hard. at Atomic Industries we're building the AWS of mass production. vertically integrated AI-powered factories. how? by building and training AI to make molds better, cheaper, and faster than anyone on earth. an evolution for the american industrial base. thread...
0:21

manufacturing is hard. at Atomic Industries we're building the AWS of mass production. vertically integrated AI-powered factories. how? by building and training AI to make molds better, cheaper, and faster than anyone on earth. an evolution for the american industrial base. thread...

Aaron Slodov

113,637 Aufrufe • vor 1 Jahr

🚨 BREAKING: ABB Robotics + NVIDIA close the sim-to-real gap with 99% accuracy! 👾 ABB Robotics is integrating NVIDIA Omniverse libraries into RobotStudio to deliver physical AI for industry, closing the gap from virtual training to real-world deployment with up to 99% accuracy. RobotStudio HyperReality, available second half of 2026, will fundamentally change how quickly manufacturers can scale production: reducing costs by up to 40%, accelerating time-to-market by 50%, and cutting setup and commissioning times by up to 80%. For decades, the deficit between simulation accuracy and real-world lighting, materials, and environments has limited manufacturers' ability to design advanced manufacturing processes in the virtual world. The only robot manufacturer with a virtual controller running the same firmware as the hardware, ensuring near-perfect correlation between simulation and real-world performance. The system uses physically accurate simulations and foundation models endlessly optimized with real-world data feedback. These models can train any number of ABB robots anywhere in the world with industrial-grade reliability. Foxconn is using RobotStudio HyperReality for consumer electronics assembly. Assembly robots are trained virtually using synthetic data to perfect multiple production processes across various scenarios, then moved to production lines with 99% accuracy. This eliminates physical training and tests, reducing setup times and costs. Workr is demonstrating AI-powered robotic systems at NVIDIA GTC 2026. Built on ABB technology, trained with synthetic data using NVIDIA Omniverse, deployed without operators needing programming knowledge . 🚨 I’ll be onsite in San Jose during GTC 2026, and will be showing all the cool stuff that ABB Robotics prepared this year! Can’t wait! 🫡 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:48

🚨 BREAKING: ABB Robotics + NVIDIA close the sim-to-real gap with 99% accuracy! 👾 ABB Robotics is integrating NVIDIA Omniverse libraries into RobotStudio to deliver physical AI for industry, closing the gap from virtual training to real-world deployment with up to 99% accuracy. RobotStudio HyperReality, available second half of 2026, will fundamentally change how quickly manufacturers can scale production: reducing costs by up to 40%, accelerating time-to-market by 50%, and cutting setup and commissioning times by up to 80%. For decades, the deficit between simulation accuracy and real-world lighting, materials, and environments has limited manufacturers' ability to design advanced manufacturing processes in the virtual world. The only robot manufacturer with a virtual controller running the same firmware as the hardware, ensuring near-perfect correlation between simulation and real-world performance. The system uses physically accurate simulations and foundation models endlessly optimized with real-world data feedback. These models can train any number of ABB robots anywhere in the world with industrial-grade reliability. Foxconn is using RobotStudio HyperReality for consumer electronics assembly. Assembly robots are trained virtually using synthetic data to perfect multiple production processes across various scenarios, then moved to production lines with 99% accuracy. This eliminates physical training and tests, reducing setup times and costs. Workr is demonstrating AI-powered robotic systems at NVIDIA GTC 2026. Built on ABB technology, trained with synthetic data using NVIDIA Omniverse, deployed without operators needing programming knowledge . 🚨 I’ll be onsite in San Jose during GTC 2026, and will be showing all the cool stuff that ABB Robotics prepared this year! Can’t wait! 🫡 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

22,482 Aufrufe • vor 3 Monaten

Physical AI is transforming manufacturing, from design to the factory floor. 🦾 Hear how leaders from ABB Robotics, JLR, and Tulip are using AI-powered simulation, synthetic data, and real-time video analytics to unlock new levels of efficiency across the entire product lifecycle. Watch the full video ➡️
1:00

Physical AI is transforming manufacturing, from design to the factory floor. 🦾 Hear how leaders from ABB Robotics, JLR, and Tulip are using AI-powered simulation, synthetic data, and real-time video analytics to unlock new levels of efficiency across the entire product lifecycle. Watch the full video ➡️

NVIDIA Omniverse

45,183 Aufrufe • vor 2 Monaten

Germany-based Agile Robots has introduced its humanoid robot, Agile One, designed for industrial environments. It features a dexterous robotic hand and runs on a physical AI system trained using real factory data, allowing it to work and interact autonomously. The company is now aiming to move Agile One into full-scale production.
0:26

Germany-based Agile Robots has introduced its humanoid robot, Agile One, designed for industrial environments. It features a dexterous robotic hand and runs on a physical AI system trained using real factory data, allowing it to work and interact autonomously. The company is now aiming to move Agile One into full-scale production.

Space and Technology

37,743 Aufrufe • vor 2 Monaten

🚨 Apple joins the robotics race! Researchers from Carnegie Mellon University and Apple have developed a robot collision avoidance system. They called it ARMOR and they implemented it on the Fourier GR-1 robot. What is ARMOR? 👘 ARMOR is a system that helps humanoid robots "see" their surroundings better by using small, smart depth sensors placed on their arms. It solves the problem of blind spots and occlusions in traditional robot perception, making robots much safer and more efficient. It uses Time-of-Flight (ToF) sensors to detect obstacles, providing a near-complete view of the robot’s environment. 🔭 A smart software powered by transformer-based AI learns from human movements to help robots plan their actions dynamically. ARMOR reduces collisions by an impressive 63.7%, making robots significantly better at navigating crowded or complex spaces. The system is fast as well! 💨 ARMOR-Policy cuts computational time by 26× compared to traditional planning methods, ensuring robots can act quickly. P.S. Thoughts on this? The research paper is in the comments! ~~~ ♻️ RT to help 1 robot find a new workplace.
1:31

🚨 Apple joins the robotics race! Researchers from Carnegie Mellon University and Apple have developed a robot collision avoidance system. They called it ARMOR and they implemented it on the Fourier GR-1 robot. What is ARMOR? 👘 ARMOR is a system that helps humanoid robots "see" their surroundings better by using small, smart depth sensors placed on their arms. It solves the problem of blind spots and occlusions in traditional robot perception, making robots much safer and more efficient. It uses Time-of-Flight (ToF) sensors to detect obstacles, providing a near-complete view of the robot’s environment. 🔭 A smart software powered by transformer-based AI learns from human movements to help robots plan their actions dynamically. ARMOR reduces collisions by an impressive 63.7%, making robots significantly better at navigating crowded or complex spaces. The system is fast as well! 💨 ARMOR-Policy cuts computational time by 26× compared to traditional planning methods, ensuring robots can act quickly. P.S. Thoughts on this? The research paper is in the comments! ~~~ ♻️ RT to help 1 robot find a new workplace.

Lukas Ziegler

169,366 Aufrufe • vor 1 Jahr

TARS AI made its mark at AWS London, connecting with global cloud leaders, enterprise teams, and innovators shaping the future of AI infrastructure. As a fully AWS-powered stack, TARS showcased how products like Sona, the AI Market, and Search are already scaling real-world AI on Solana ➙ live, voice-first, and onchain.
0:37

TARS AI made its mark at AWS London, connecting with global cloud leaders, enterprise teams, and innovators shaping the future of AI infrastructure. As a fully AWS-powered stack, TARS showcased how products like Sona, the AI Market, and Search are already scaling real-world AI on Solana ➙ live, voice-first, and onchain.

TARS AI 🤖

235,950 Aufrufe • vor 1 Jahr

People who've never set foot in a factory will never understand... I watched this three times. For decades, robotics simulation has promised faster deployment. But factories still had to build the real cell to see if it actually worked. Which meant expensive physical prototypes, weeks or months!!! of commissioning, constant surprises between simulation and reality That “sim-to-real gap” has quietly been one of the biggest bottlenecks in manufacturing automation. And it’s exactly what is changing. Today, ABB Robotics announced a partnership with NVIDIA Robotics aimed at closing this gap through the new RobotStudio HyperReality platform: Simulation and real robot behavior can match with near-perfect accuracy. That means manufacturers can design, test, and validate entire production lines before a single robot is installed on the factory floor. The implications are massive: • up to 80% faster setup and commissioning • roughly 40% lower costs by removing physical prototypes • about 50% faster time-to-market for new production lines In other words: Factories can move from trial-and-error engineering to software-driven manufacturing design. Production lines become something you build and validate digitally first. Then deploy physically once everything already works. For an industry that still measures deployment timelines in months or years, this is a major shift. It changes how automation projects are planned, how factories are designed, and how fast manufacturing can adapt to new products. Physical AI actually becomes deployable at an industrial scale. I’ll be at GTC in San Jose next week to see and talk to manufacturers and robotics engineers. If you are into manufacturing like I am, hit me up; my DMs are open!
0:31

People who've never set foot in a factory will never understand... I watched this three times. For decades, robotics simulation has promised faster deployment. But factories still had to build the real cell to see if it actually worked. Which meant expensive physical prototypes, weeks or months!!! of commissioning, constant surprises between simulation and reality That “sim-to-real gap” has quietly been one of the biggest bottlenecks in manufacturing automation. And it’s exactly what is changing. Today, ABB Robotics announced a partnership with NVIDIA Robotics aimed at closing this gap through the new RobotStudio HyperReality platform: Simulation and real robot behavior can match with near-perfect accuracy. That means manufacturers can design, test, and validate entire production lines before a single robot is installed on the factory floor. The implications are massive: • up to 80% faster setup and commissioning • roughly 40% lower costs by removing physical prototypes • about 50% faster time-to-market for new production lines In other words: Factories can move from trial-and-error engineering to software-driven manufacturing design. Production lines become something you build and validate digitally first. Then deploy physically once everything already works. For an industry that still measures deployment timelines in months or years, this is a major shift. It changes how automation projects are planned, how factories are designed, and how fast manufacturing can adapt to new products. Physical AI actually becomes deployable at an industrial scale. I’ll be at GTC in San Jose next week to see and talk to manufacturers and robotics engineers. If you are into manufacturing like I am, hit me up; my DMs are open!

Ilir Aliu

68,927 Aufrufe • vor 3 Monaten

Sandwich BOT is an AI-powered robotic system developed by Nala Robotics, Inc. It’s a fully automated machine designed to prepare a wide range of sandwiches with precision. From slicing and spreading to adding toppings, the robot handles the entire process efficiently and consistently. Video source: Nala Robotics #robotics #technology #engineering #stem #innovation #robots -------------------------------- Stay ahead of the curve! Follow us now on our WhatsApp ( and Telegram ( channels and stay updated about the cutting edge.
2:02

Sandwich BOT is an AI-powered robotic system developed by Nala Robotics, Inc. It’s a fully automated machine designed to prepare a wide range of sandwiches with precision. From slicing and spreading to adding toppings, the robot handles the entire process efficiently and consistently. Video source: Nala Robotics #robotics #technology #engineering #stem #innovation #robots -------------------------------- Stay ahead of the curve! Follow us now on our WhatsApp ( and Telegram ( channels and stay updated about the cutting edge.

Wevolver

15,502 Aufrufe • vor 1 Jahr

Welcome to a "robot town" at this year's World Intelligence Expo, where a future powered by AI and robotics comes to life. From companion robots to robotic arms and human-like hands performing delicate tasks, innovation is on full display. A step closer to the future of intelligent living. #WorldIntelligenceExpo #Robotics #AI #Innovation #SmartTech #ChinaTech
2:11

Welcome to a "robot town" at this year's World Intelligence Expo, where a future powered by AI and robotics comes to life. From companion robots to robotic arms and human-like hands performing delicate tasks, innovation is on full display. A step closer to the future of intelligent living. #WorldIntelligenceExpo #Robotics #AI #Innovation #SmartTech #ChinaTech

China Xinhua News

102,444 Aufrufe • vor 27 Tagen

Robots from Humanoid passed real factory test at Siemens! 😮‍💨 Humanoid from the UK just completed a successful proof of concept with Siemens, deploying their HMND 01 wheeled humanoid robot in a real working factory. The task was simple but important: pick totes from a storage stack, transport them to a conveyor, and place them at the pickup point for human operators. Repeat until the stack is empty. The robot achieved 60 tote moves per hour, handled two different tote sizes, ran autonomously for more than 30 minutes at a time, stayed operational for over eight hours, and maintained over 90% success rate on pick and place tasks. This matters because it's not a demo video. It's a real deployment in Siemens' Electronics Factory in Erlangen, handling actual production work, measured against real operational metrics. The test ran in two phases. First, Humanoid built a physical twin in-house to test and optimize the system. Then they deployed on-site at Siemens for two weeks, where the robot operated in the real production environment. We can see a wheeled humanoid robot in action! So, now the ultimate question: wheels or legs? 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:26

Robots from Humanoid passed real factory test at Siemens! 😮‍💨 Humanoid from the UK just completed a successful proof of concept with Siemens, deploying their HMND 01 wheeled humanoid robot in a real working factory. The task was simple but important: pick totes from a storage stack, transport them to a conveyor, and place them at the pickup point for human operators. Repeat until the stack is empty. The robot achieved 60 tote moves per hour, handled two different tote sizes, ran autonomously for more than 30 minutes at a time, stayed operational for over eight hours, and maintained over 90% success rate on pick and place tasks. This matters because it's not a demo video. It's a real deployment in Siemens' Electronics Factory in Erlangen, handling actual production work, measured against real operational metrics. The test ran in two phases. First, Humanoid built a physical twin in-house to test and optimize the system. Then they deployed on-site at Siemens for two weeks, where the robot operated in the real production environment. We can see a wheeled humanoid robot in action! So, now the ultimate question: wheels or legs? 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

21,993 Aufrufe • vor 4 Monaten

🎄 AI just gave chocolate-making a festive upgrade. 🍫✨ This AI-powered delta robot is redefining precision manufacturing — starting with pralines. Instead of chasing the chocolates, it sees, thinks, and adapts in real time. Guided by computer vision, its base moves to align with each chocolate’s position while the arm stays fixed — a complete reversal of how robots usually operate. What’s new: Traditional robots follow pre-set coordinates. This one interprets what it sees, adjusting instantly — merging perception and motion into one intelligent system. 🎯 Why it matters: It’s a step toward truly intelligent automation — systems that react dynamically to their environment, reducing waste and improving accuracy. New possibilities unlocked: → Smarter food production and packaging lines → Real-time adaptive robotics in manufacturing → Precision handling of delicate or custom-made products To me, this is where AI shines — not by replacing human skill, but by amplifying it through precision, adaptability, and creativity. Would you trust an AI-powered robot to craft your Christmas chocolates this year? 🎅 #AI #Innovation #Christmas #Automation #Robotics #ComputerVision #Technology Credits: Olivier Gomez
0:36

🎄 AI just gave chocolate-making a festive upgrade. 🍫✨ This AI-powered delta robot is redefining precision manufacturing — starting with pralines. Instead of chasing the chocolates, it sees, thinks, and adapts in real time. Guided by computer vision, its base moves to align with each chocolate’s position while the arm stays fixed — a complete reversal of how robots usually operate. What’s new: Traditional robots follow pre-set coordinates. This one interprets what it sees, adjusting instantly — merging perception and motion into one intelligent system. 🎯 Why it matters: It’s a step toward truly intelligent automation — systems that react dynamically to their environment, reducing waste and improving accuracy. New possibilities unlocked: → Smarter food production and packaging lines → Real-time adaptive robotics in manufacturing → Precision handling of delicate or custom-made products To me, this is where AI shines — not by replacing human skill, but by amplifying it through precision, adaptability, and creativity. Would you trust an AI-powered robot to craft your Christmas chocolates this year? 🎅 #AI #Innovation #Christmas #Automation #Robotics #ComputerVision #Technology Credits: Olivier Gomez

Pascal Bornet

68,516 Aufrufe • vor 6 Monaten

Jensen Huang says the factory of the future will be one giant robot -- orchestrating machines, working with humans, and building more robots. “Robots building robots, building robots.” It's recursion as infrastructure, powered by physical AI.
0:40

Jensen Huang says the factory of the future will be one giant robot -- orchestrating machines, working with humans, and building more robots. “Robots building robots, building robots.” It's recursion as infrastructure, powered by physical AI.

vitrupo

73,308 Aufrufe • vor 1 Jahr

TWIST: a real-time teleoperation system for humanoid robots to mimic whole-body motions. Reference motion data is generated by retargeting human motion-capture data to the robot. Then, the controller is trained in simulation using reinforcement learning and behavior cloning.
0:58

TWIST: a real-time teleoperation system for humanoid robots to mimic whole-body motions. Reference motion data is generated by retargeting human motion-capture data to the robot. Then, the controller is trained in simulation using reinforcement learning and behavior cloning.

The Humanoid Hub

46,715 Aufrufe • vor 1 Jahr

General AI is already a dated concept. ThinkingAI connects an entire business ecosystem through MCP, pulling data, tools, and workflows into a single execution layer. Not isolated AI tools working separately. Coordinated agent systems triggering real actions across the whole operation. The shift is from using AI to running on it. Every company becomes an AI-powered system built on custom agent teams through the ThinkingAI Agentic Engine.
5:06

General AI is already a dated concept. ThinkingAI connects an entire business ecosystem through MCP, pulling data, tools, and workflows into a single execution layer. Not isolated AI tools working separately. Coordinated agent systems triggering real actions across the whole operation. The shift is from using AI to running on it. Every company becomes an AI-powered system built on custom agent teams through the ThinkingAI Agentic Engine.

Future Stacked

52,003 Aufrufe • vor 2 Monaten

🎥Luma AI is democratizing access to AI & enabling production-quality content creation for all. 📈At LA Tech Week Jason Levin discusses how #AWS infrastructure has powered the company’s growth. 🔮Shape your #startup’s future at AWS re:Invent 2025.
1:17

🎥Luma AI is democratizing access to AI & enabling production-quality content creation for all. 📈At LA Tech Week Jason Levin discusses how #AWS infrastructure has powered the company’s growth. 🔮Shape your #startup’s future at AWS re:Invent 2025.

AWS Startups

14,341 Aufrufe • vor 7 Monaten

⚡️MEET THE THIS HEAD-TURNER ROBOT Agile One stole the spotlight at Hannover Messe 2026, assembling mini robots live on the factory floor. Built by Agile Robots, it can work with humans, talk to visitors, and adapt in real time. Physical AI is ready to be your colleague.
0:23

⚡️MEET THE THIS HEAD-TURNER ROBOT Agile One stole the spotlight at Hannover Messe 2026, assembling mini robots live on the factory floor. Built by Agile Robots, it can work with humans, talk to visitors, and adapt in real time. Physical AI is ready to be your colleague.

Coin Bureau

12,805 Aufrufe • vor 29 Tagen

The future of mobility is multimodal. Hear from leaders from Lucid Motors, Nuro, BoschGlobal, and PlusAI on how AI, software-first design, and simulation are shaping the next generation of vehicles. Together, they show how our end-to-end approach is helping move AI-defined vehicles from development to the road. 🎥 Watch the video:
1:04

The future of mobility is multimodal. Hear from leaders from Lucid Motors, Nuro, BoschGlobal, and PlusAI on how AI, software-first design, and simulation are shaping the next generation of vehicles. Together, they show how our end-to-end approach is helping move AI-defined vehicles from development to the road. 🎥 Watch the video:

NVIDIA DRIVE

39,010 Aufrufe • vor 4 Monaten

Announcing Innovative Dreams, a new production company by Luma and Wonder Project built by filmmakers for filmmakers, and our first production — Moses starring Sir Ben Kingsley, coming this Spring on Prime Video. AI is a fundamental change to the craft and business of filmmaking, and through ID, we are building a new production process for this era — one that brings Humans and AI together to enable great storytelling. We call it Hybrid Production — actors, artists, and generative AI working together in Luma. In real time. Innovative Dreams is a production services company where seasoned filmmakers from Director Jon Erwin's team and Luma's creative technologists work with great studios and filmmakers to help them realize ambitious ideas. It's a liberating force. Hybrid Production enables actors, directors, and artists to work together in real time. Creative teams collaborate with Luma Agents live and make changes to sets, props, lighting, and bring in performance capture from human actors. This is a significant improvement over the current virtual production and performance capture processes where things come together only in post. This is the leverage of AI — not just faster or cheaper, but better than what came before. We have built the first Hybrid Filmmaking studio at Manhattan Beach Studios where Moses is being shot. ID is significantly oversubscribed with demand and is actively growing the team to extend its services to more studios and filmmakers. Read more:
6:02

Announcing Innovative Dreams, a new production company by Luma and Wonder Project built by filmmakers for filmmakers, and our first production — Moses starring Sir Ben Kingsley, coming this Spring on Prime Video. AI is a fundamental change to the craft and business of filmmaking, and through ID, we are building a new production process for this era — one that brings Humans and AI together to enable great storytelling. We call it Hybrid Production — actors, artists, and generative AI working together in Luma. In real time. Innovative Dreams is a production services company where seasoned filmmakers from Director Jon Erwin's team and Luma's creative technologists work with great studios and filmmakers to help them realize ambitious ideas. It's a liberating force. Hybrid Production enables actors, directors, and artists to work together in real time. Creative teams collaborate with Luma Agents live and make changes to sets, props, lighting, and bring in performance capture from human actors. This is a significant improvement over the current virtual production and performance capture processes where things come together only in post. This is the leverage of AI — not just faster or cheaper, but better than what came before. We have built the first Hybrid Filmmaking studio at Manhattan Beach Studios where Moses is being shot. ID is significantly oversubscribed with demand and is actively growing the team to extend its services to more studios and filmmakers. Read more:

Luma

94,580 Aufrufe • vor 2 Monaten

Almost 20 years later, AWS is still the most popular cloud in the world. The reason is simple: it just works! They have four services focused on Generative AI: 1. Amazon Q 2. Amazon Bedrock 3. SageMaker JumpStart 4. PartyRock I've been using AWS for around 15 years (honestly, I don't remember well), and their Developer Center is a gold mine. If you open their Developer Center, you'll find a new learning path, "Generative AI for Developers." I'm linking to it below. This is not just a course. This is a collection of courses, examples, videos, tutorials, and code walkthroughs. They will teach you how to use Generative AI on AWS using the four services above. ↑ That right there is a huge selling point: These classes aren't just theoretical. You'll have a chance to learn using the same professional tools everyone else uses. By the way, there are many more resources in the Developer Center: • Machine Learning • Data Operations • DevOps All of these are free. Click, click, and start learning right away. One more thing before I forget: If you are building anything with AWS, check out Amazon Q, their coding assistant. This is the *best* coding assistant for AWS-related work, and it's not even close. It's a Visual Studio Code extension. Install it, and it works like any other code assistant, except this one knows a lot about AWS. Thanks to AWS for sponsoring a post about their free courses and learning resources. There's a special place in Developer Heaven for you.
2:10

Almost 20 years later, AWS is still the most popular cloud in the world. The reason is simple: it just works! They have four services focused on Generative AI: 1. Amazon Q 2. Amazon Bedrock 3. SageMaker JumpStart 4. PartyRock I've been using AWS for around 15 years (honestly, I don't remember well), and their Developer Center is a gold mine. If you open their Developer Center, you'll find a new learning path, "Generative AI for Developers." I'm linking to it below. This is not just a course. This is a collection of courses, examples, videos, tutorials, and code walkthroughs. They will teach you how to use Generative AI on AWS using the four services above. ↑ That right there is a huge selling point: These classes aren't just theoretical. You'll have a chance to learn using the same professional tools everyone else uses. By the way, there are many more resources in the Developer Center: • Machine Learning • Data Operations • DevOps All of these are free. Click, click, and start learning right away. One more thing before I forget: If you are building anything with AWS, check out Amazon Q, their coding assistant. This is the *best* coding assistant for AWS-related work, and it's not even close. It's a Visual Studio Code extension. Install it, and it works like any other code assistant, except this one knows a lot about AWS. Thanks to AWS for sponsoring a post about their free courses and learning resources. There's a special place in Developer Heaven for you.

Santiago

22,104 Aufrufe • vor 1 Jahr