Tony Chor

⚙️ Claude Code is creating a buzz among Seattle engineers, who describe the AI tool as a supercharged coding partner that can refactor large codebases, handle tedious boilerplate, and stitch services together at speed. The article paints a picture of software teams rethinking roles, workflows, and onboarding as coding assistants shift from autocomplete to true collaborators. For engineering leaders, the big challenge is how to harness this productivity jump while maintaining code quality, security, and human expertise in the loop. #AI #Claude #SoftwareDevelopment #EngineeringLeadership #DevTools #Productivity #AIFreakyFacts

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Today we announced new capabilities for our Shop Direct and Buy for Me experiences on Amazon, enabling now feeds to facilitate external merchants to list reliably their product listings and reach millions of Amazon customers. Excited on this feature, that is a win/win experience for customers, merchants and brands. Excited to be part of such important project.

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If there’s any low level coders in my network please check out Troy’s GitHub and his project to build a new, faster shell! Some details on Troy: ### Windows Accessibility and TTS Contributions (Red Eagle Team) - Description: As part of the Red Eagle Team (a Georgia-backed initiative with Microsoft support in the mid-2000s), Mallory developed foundational code for universal Text-to-Speech (TTS) systems and cross-platform handicap accessibility features. This included compatibility layers for screen readers, app navigation, and voice input (e.g., influencing tools like Dragon NaturallySpeaking). - Impact on Windows: Microsoft adopted and evolved his logic starting with Windows Vista, integrating it into core OS features for impaired users. If you've used modern Windows TTS, clipboard integrations, or basic accessibility navigation, elements trace back to this work. - Modern Extensions: He's currently exploring IoT/smart home integrations for disabled veterans, building on this foundation. Troy’s Post “Okay guys think tank. I maybe over complicating this or may habe to do a bit of tweaking with some C code. Rubian has been going smoothly. The new boot and dynamic system discovery deamons work great. As standalone. The new stack needs tweaking for efficiency but works and is stable. Here's the stack im working on with the prototype test. /etc/rc.local ->calls boot.rb as bg process. ->boot.rb bootstraps rubian's system discovery and array logic. User login -> rubian3.rb (repl) -> chsh -s ./rubian3.rb USER Rubian boot.rb logic. ->starts C ruby and Jruby C ruby starts the bootstrap process while jruby warms up. -> Cruby passes workload to jruby when its ready to finish boot system. The deamon system is the server-side, where shells and env are the client. (See my UNIX socket prototype here) https://lnkd.in/gf6rWs46 C and j ruby can now natively talk to each other. I know that works. The issue im having is the new login shell isnt hooking into the deamon when it loads. https://lnkd.in/g5_2ZuPH A further explanation: “Yes. I've been building from the Shell working down to the kernel. The Shell side of things mimic Bash but in ruby expression. On the logic side of things, ruby treats everything as an object. What im doing is taking all the system information and building Arrays. Each directory and file then has an index that we can iterate through with .each_with_index, .each_with_object, etc. So instead of a static file tree, i have arrays of nested file paths and directories being pattern matched. Any ruby app will be ran and communicate to it. This allows for dynamic file utils systems and more. Each array index points to a file, directory, process, thread, interpreter, shell, hardware, everything that is a defined method object.”

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Rivian R2 robotaxis are officially on the roadmap! Excited to partner with the team at Rivian as they scale their award-winning electric vehicle platform to a vertically integrated hardware + software AV stack, coming exclusively to Uber 💪🏾

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We start to develop a global consciousness on #privacy, however, we are not aware of what #autonomousCars mean to this. https://lnkd.in/db8btZg7

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Sharing a powerful insight from Eric Schmidt’s talk Imagination in Action at Google, Sunnyvale Campus The rise of non-human intelligence is being compared to the discovery of fire or the invention of electricity. We are living in a moment of immense historical consequence, a shift that will reshape humanity’s future. Thank you Peter Danenberg for your support and Thank you Dave Blundin for your masterful interview! Link to the full video in the comments: https://lnkd.in/eJiWEFTA

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Waymo has unlocked a surprisingly specific use case in San Francisco: parents are trusting it to drive their kids to school. They wouldn’t put their kid in an Uber, but they’ll send them solo in a fully autonomous car. That was the moment it really clicked for me. If AI can handle real-time decisions where safety is on the line, it can handle a mortgage file. Document review, condition clearing, data extraction—it’s not even close in terms of complexity. The challenge isn’t whether it’s possible. It’s whether we’re designing systems that make better use of people’s time—because the manual work isn’t just inefficient. It’s holding the entire industry back. https://lnkd.in/gFVA9Yvk #MortgageTech #Automation #AIinLending

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Between 2003 and 2006, Amazon went through a period of concentrated process invention. During those years, Jeff Bezos drove the development of a set of foundational operating practices that became the spine of Amazon’s culture and execution. When people think of Amazon, they often think of groundbreaking services like 1-day delivery or innovative products like the Kindle, Alexa, or AWS. However, those services and products were only able to achieve such great success because of the processes that were behind their development. Of the Amazon processes that were developed between 2003 and 2006, you may have heard of these especially famous ones: → “Working backwards” and the PR/FAQ → Single-threaded teams/leaders → Bar Raiser Hiring → Input/output metric reviews → The six-page narrative The reason that Jeff and the leadership team were able to develop so many powerful mechanisms that are still in use to this day is that the process was iterative and grounded in a willingness to experiment and learn. These processes came from trying to solve specific organizational pain points, not theoretical problems. As process innovators, Amazon learned from traditional management science while also standing on the shoulders of other great companies and management thinkers. They adapted concepts to their unique scale and pace. It worked, and it stuck. The important thing is that these weren’t hypothetical or academic ideas. They were forged under pressure and constantly iterated until they reached a lasting form. Amazon’s true genius isn’t how they have delivered a single product or service, it is the creation of systems that allow them to consistently produce innovative products at scale. After writing “Working Backwards,” Colin and I realized that we could have called the book “The Invention Machine,” because that is truly what Amazon is. If you want to read that book, you can find it here: https://lnkd.in/gzJ4qb45

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If you are anywhere near Fullerton, California this week, join us for the next "I Build with AI" meetup, where Mark Warrick, AI Strategist and App Developer, will be presenting and running a workshop on how to Turn Your Domain Expertise into a Mobile App with AI! Instead of focusing on code or technical implementation details, the session centers on understanding intent, decision-making, and real-world judgment, and how AI can help translate that thinking into software. To make the concepts concrete, Mark will walk through a real example called Trail Palette, a mobile weather app designed for outdoor photographers. Drawing on his experience spending countless hours in mountainous terrain as both a guide and photographer, Mark brings an intuitive understanding of how weather, light, and landscape interact, and how that domain knowledge shapes the logic and behavior of an app. This session is designed for knowledge workers and domain experts who are non-developers that want a clear mental model of what it takes to build a mobile app using AI. Along with a hands-on workshop, you’ll gain an understanding of the tools involved and inspiration to see how your own domain expertise could become the foundation for software. RSVP for the event at: https://lnkd.in/gCj-GTD5

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Today I spoke with two frinds from Google AI and learned that the KPI for engineers at Google and many large tech companies has fundamentally changed. A key metric now is how many tokens you are able to use. The more tokens you use, the greater your potential contribution—one person can now accomplish the work that once required ten or even a hundred people. #HerPowerAI #Google #WorkModel #KPI

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Today, Amazon signed the White House’s energy pledge — an important step toward strengthening America’s grid while protecting ratepayers. As energy demand grows across advanced manufacturing, transportation, and AI, modernizing the grid is essential to maintaining affordability, reliability, and U.S. competitiveness. At Amazon, we start with a simple principle: we pay our full cost of service. That includes long-term commitments for new generation, transmission infrastructure, and grid upgrades — investments that benefit the broader communities where we operate. Since 2020, we’ve built one of the world’s largest portfolios of carbon-free energy projects, now totaling more than 40 gigawatts of capacity. We’re also advancing next-generation nuclear and supporting grid modernization efforts across multiple states. Meeting America’s energy future will require utilities, policymakers, and the private sector working together. We’re proud to do our part. Full announcement: https://lnkd.in/emswuU5U?

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💥Real-world AI impact 💥 I post a lot of content about AI and the usage of it, more often than not looking into the near to not-so-near future. So when I see an actual existing real-world impact of AI, it makes me smile 🙂. Samsara is helping drivers detect road hazards, emergency vehicles, and more, see the video below. #Samsara #AI #12DaysofSamsara

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