50 posts · 11 companies · newest first
I have been facing a significant amount of decision fatigue when using AI for development. I’ll spend close to eight hours a day, five days of the week, prompting, planning, and reviewing code. This leads to decision fatigue, where I become less able to make sound decisions as the day goes on. Growing fatigue impacts […] The post Reduce AI Decision Fatigue: Lessons from Game Design appeared first on Atomic Spin.
How Thumbtack built an AI pipeline that generates, evaluates, and refines marketing content at scale, maintaining human-level quality programmatically.The ChallengeThumbtack connects customers with local service professionals across a wide range of categories and geographies. For many customers, the first entry point to Thumbtack is a landing page. When someone searches Google for “plumber near me” or “duct cleaning Raleigh NC”, these pages are where they land, and they are the user’s first impression of the marketplace for that query. The footprint targeted by this work is roughly 500K such…
At a Microsoft event in San Francisco on Wednesday, Jensen Huang and Satya Nadella outlined how NVIDIA and Microsoft are co-engineering hardware and software for AI agents to run on Windows PCs. NVIDIA was founded because of Windows, Huang said. Now AI agents are coming to Windows. “If you look at the entire journey of […]
Cloudflare Managed Defense uses a team of specialized AI agents built on Workers and global network telemetry to analyze security alerts. By separating deterministic evidence collection from model inference, the system delivers grounded recommendations to Managed Defense Analysts.
The short story Consider a Friday evening. A food order arrives from a mall in the city center. One driver is nearby; another is finishing a drop-off and will be available shortly; a second order from the same mall may or may not appear in the next two minutes. Dispatch the nearby driver now, or hold briefly for a batching opportunity? The decision window is short. A fulfillment marketplace makes these decisions continuously. Each one is small. Across a city, those decisions determine whether your dinner arrives hot and whether a driver’s hour is well spent. And that is one decision. There…
Local AI is becoming more useful by the token. As AI agents move from experiments into everyday development, increasingly capable open models are shrinking to fit on more devices, giving builders more to run locally. Coming this month, NVIDIA DGX Spark will be available with 64GB of unified memory from top manufacturer partners — Acer, […]
Introducing the public preview of AWS Well-Architected Agent, an AI-powered service that analyzes your AWS environment to deliver targeted, contextual recommendations for improving your applications' cost, security, performance, and resilience—with ready-to-implement fixes aligned to your business goals.
Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems. To foster such innovation, the NVIDIA Graduate Fellowship Program provides grants, mentors and technical support to doctoral students doing outstanding research relevant to NVIDIA technologies. The program, in its 26th […]
Cloudflare introduces an adaptive security framework connecting risk discovery, agent governance, runtime protection, and AI-powered response in a continuous learning loop.
For all the good and bad that has come with the LLM domination of software development recently, one aspect I can definitely appreciate is that everything feels on the table when it comes to figuring out how to best approach our jobs. Granted, that’s also the part that terrifies me. It’s definitely my and many […] The post Even with LLMs, Let’s Pair Together appeared first on Atomic Spin.
Learning the Software Development Lifecycle (SDLC) has never been easier. When I say “learning,” I mean good old-fashioned reading the docs, trying something, failing, trying again, probably failing once more, and finally succeeding. Whatever part of the lifecycle you want to understand still needs that attention. The traditional parts of the SDLC are planning, requirements […] The post There Has Never Been a Better Time to Learn the Software Development Lifecycle appeared first on Atomic Spin.
As a delivery lead, data-layer troubleshooting has historically been developer work: SQL fluency, comfort operating in a production database, and the confidence to investigate without breaking anything. For an accounting-based client, when their data didn’t reconcile or make sense, that question went to a developer. AI changed that for me in one engagement this year. […] The post How AI Let a Non-Technical Delivery Lead Work in the Data Layer appeared first on Atomic Spin.
Introduction Merchant reviews contain useful details about food quality, portion size, packaging, and value. Finding these details often requires reading many comments. Aggregate ratings simplify comparisons, but they do not explain what shaped each score. We built the Automated Merchant Review Summary System to turn written reviews into concise summaries. Consumers can scan an overall summary or focus on a specific topic. Merchants can identify what customers value and which parts of the experience need attention. This article focuses on how we generate and maintain consumer-facing review…
Non-determinism is a concept that has existed for decades. However, it has rarely been a central part of software design — until the rise of large language models (LLMs). These models enable developers to build probabilistic AI applications, such as autonomous AI agents. Traditionally, developers build deterministic software that initiates concrete, repeatable actions, where they ...
NVIDIA AI Day Singapore, which takes place Sept. 22-23 at the Raffles City Convention Centre, is offering attendees opportunities to explore the hands-on training, expert-led sessions and advanced tools to accelerate their work in AI and high-performance computing. At the event, NVIDIA and its partners are showcasing breakthrough AI advancements across the Southeast Asia region […]
To build and deploy sophisticated robotics applications that can perceive, reason and act in dynamic environments, developers need new physical AI models and tools. The ROS open framework is a project from Open Robotics that helps humans build robots. NVIDIA Isaac ROS 5.0 — a collection of GPU-accelerated packages built on ROS, released today at […]
Today, Egypt’s AI builders gathered in the Grand Egyptian Museum for a reception that highlighted the nation’s rapidly growing AI ecosystem — spanning AI natives, developers, researchers, startups and enterprises — building applications across industries. The event included a keynote from Paolo Guglielmini, vice president of EMEA at NVIDIA. Ahmed Mostafa, regional AI adoption lead […]
AI security is an engineering problem. That means defined security requirements, enforceable controls, named owners and evidence that protections work. As AI becomes more capable, the industry must accelerate security engineering, broaden access to defensive tools and share what works faster. Technology Changes, Security Fundamentals Endure The internet and cloud computing changed how software operates, […]
Clean energy isn’t hard to come by, but the pace of large-scale adoption has historically been slow due to bottlenecks — including out-of-date infrastructure, elongated research and development timelines, and upfront cost barriers. At New York Climate Week, NVIDIA is highlighting five companies pioneering clean energy projects with AI baked into their foundation, accelerating research-to-inception […]
Imagine this… A company unveils a brand new, high-tech laser cutter. It’s cutting-edge technology (if you’ll pardon the pun): incredibly strong, incredibly practical, incredibly easy to use. People are fascinated; this is so cool! People start cutting out their designs in the laser cutter. They see what everyone else is doing and get ideas. They […] The post Don’t Stick a Laser In Your Face (A Parable): Power Tools & Ignorance appeared first on Atomic Spin.
Atomic’s Agentic Engineering for Teams describes how work moves through a product backlog, definition, planning, implementation, and review when agents do much of the building. While working with a small team during a Research, Design, and Planning (RDP) engagement, I started paying attention to a smaller decision inside that process: how much authorship we give […] The post Use Curiosity, Craft, and Care to Decide What AI Should Write appeared first on Atomic Spin.
Manufacturing floors, warehouses and production lines rarely stay fixed — tasks change, layouts shift and new products arrive, and most robots can’t keep up without significant reprogramming. Skild AI’s new S1 robot foundation model helps address this, designed to learn previously unseen, long-horizon tasks from a single video demonstration. The model, launched last week, uses […]
The global robotaxi market — physical AI’s first commercial breakthrough — is projected to reach $400 billion by 2035, with over 6 million commercial vehicles in operation as driverless fleets are already moving people through some of the world’s busiest and most complex streets. Deploying a driverless vehicle is one challenge. Scaling a fleet is […]
At the IBC conference, running Sept. 11-14 in Amsterdam, the creative, technology and business communities are coming together to turn ideas into action and discuss innovations across the media and entertainment industries. More than 44,000 attendees from 170+ countries are gathering to explore 1,300+ exhibitions in 14+ halls and outdoor spaces, with over 600 speakers […]
The best use of AI I found all year was hiring. This year I used AI to help me fill two roles I had never hired for before: a senior marketing specialist to consult with each of our four regional offices on local marketing needs, and a marketing operations lead to build automations that compress […] The post Spec-Driven Hiring Was My Most Useful AI Win of the Year appeared first on Atomic Spin.
Tilman Drerup, Moe Moazzami, Shih-Ting Lin, Greg Reda (and many more)IntroductionAt Instacart, artificial intelligence is fundamentally changing the way our machine learning engineers operate. In a prior blog post, we used one of our teams as a case study to illustrate how the emergence of agents has reshaped what machine learning engineers spend their time on. The post below goes a few levels deeper and zooms in on the machine learning modeling process itself, an area where recent developments in AI-assisted research have opened up exciting new frontiers that we are now actively exploring.…
Frontier intelligence is going local. At IFA 2026, NVIDIA, Microsoft and its partners are teaming up to provide faster inference and new tools that make agents easier to set up and run locally on NVIDIA hardware. New compact NVIDIA RTX Spark Windows PCs are also coming in October to give AI enthusiasts, developers and creators […]
I’m excited to announce that NVIDIA has agreed to acquire Hugging Face for $12,930,300,000. Together, we will scale Hugging Face’s platform, strengthen its infrastructure and expand access to AI for developers and institutions worldwide. Over the past decade, Clem, Julien, Thomas and the team at Hugging Face have built something remarkable: a vibrant home for […]
A note from the author: Just before this post was set to be published, a new feature was released on Claude Code that makes this post somewhat obsolete: Claude’s new “Concise” output style. I was sick of scanning through walls of text each time I asked Claude Code a question. Skills like I have ADHD […] The post Quit Blabbing, Claude Code! Shorter Answers with Output Styles appeared first on Atomic Spin.
In the current AI discourse, particularly when AI is unreliable or misused, it’s often pointed out that AI is simply a tool. This is a fair way to think about it. Like any tool, there are things it’s good for and things it’s not. Some people are better at using it than others. Some folks […] The post In the Age of AI, You Need Structure appeared first on Atomic Spin.
Atomic Object Raleigh has several ongoing projects, all of which involve varying degrees of AI-assisted coding, as well as some creating agentic applications. Recently I asked other engineers in our office to share their thoughts on Model Context Protocol (MCP) Servers. MCP is a standard that lets AI tools connect to third-party systems (such as […] The post Atomic Object on AI: MCP Servers appeared first on Atomic Spin.
About a mile from the finish on Sunday, I stopped to take in a gel and some water. And my stomach turned over. I was seven and a half miles around Mackinac Island, in a wetsuit, with nothing to do about it. So I breathed. Slow and deliberate, for longer than I wanted to. It […] The post 2 Years, 2 Swims Around Mackinac Island, & One AI Coach appeared first on Atomic Spin.
In April, I spent a morning at the Apple Manufacturing Academy Summit at MSU, where Apple and Michigan State train companies to implement AI. The room was operations leadership. People who run the work, not people who write AI strategy memos. A McKinsey presenter put up a spend breakdown for AI deployments that work: $2 […] The post Two of Everything: What Michigan’s Health System Mergers Reveal About AI appeared first on Atomic Spin.
Ahead of Nordic APIs Summit 2026, we check in with speaker Andrea Arcuri on how fuzz testing for APIs is evolving. “You cannot really check security properties if all your HTTP calls fail with a 4xx because your techniques can’t generate the right test data to pass the first layer of input validation,” answers Andrea ...
Introduction The first Jarvis Pro prototype could produce answers that sounded right. That was the problem. One early answer looked polished: it named the merchant, summarized the week, and recommended pushing promotions before the next review. It was also wrong. The merchant’s order volume was down, but the sharper issue was operational: more outlets were paused and fulfilment had slipped. Sending more demand into that setup would have made the merchant look worse. That failure changed how we judged the system. Fluent was not enough. Jarvis Pro is the AI assistant we built for Grab account…
Lessons from building an agentic software security strategy at PalantirIntroductionPalantir’s Product Security Team began experimenting with agentic AI across a variety of security workflows over a year ago. By the time Anthropic launched Project Glasswing, we were already using an internal multi-agent review harness with AI security agents focused on different areas of security expertise. Anthropic’s Mythos model and OpenAI’s cyber program helped to accelerate that work.Today, our team has operating capabilities for multi-agent source-code review, analyst-directed vulnerability hunting,…
Introduction What worried us wasn’t the hallucination, it was the subtle plausibility. Answers an engineer could easily read past and accept: a right-looking Structured Query Language (SQL) query, a plausible tool call, an innocent profile update, or a patch that satisfied the surface tests. When we analyzed the row-level failures, a clear pattern emerged: SQL generation: kept the query shape but changed the underlying metric. Tool calling: selected the right tool family but drifted on parameters. Profile updates: cited every event instead of only the evidence that supported the claim. Coding…
The open source ecosystem is making it easier for AI enthusiasts and developers to build, customize and run increasingly capable agents locally. Throughout August, NVIDIA is celebrating the partners and open source communities moving local AI forward, along with the models, applications and tools emerging across the ecosystem. That includes NVIDIA’s latest open models, software […]
DynamoDB now supports native vector search with single-digit millisecond latency at 99%+ recall. It is designed for any scale, even trillions of vectors and requires zero infrastructure management.
Expedia Group Technology — EngineeringCombine a GraphQL schema, hints and a LLM to generate contextual GraphQL mock responsesPhoto by Samuel Vazquez somewhere in New ZealandA product developer on our navigation header team spent an afternoon hand-typing a 200-line GraphQL JSON mock response so they could keep building the UI while a resolver was pending to be implemented. The schema changed the next morning. We threw the mock away. That is the boring tax on every GraphQL prototype: mocks that drift, fixtures that rot, frontends blocked on backends, and demos slipping because nobody wanted to…
If you’re an API or application developer, you likely hear the term “token” a lot. However, that term has entirely different meanings depending on the developer and the industry. Maybe you’re a developer who just implemented token-based authentication or found out the AI agent you built uses far too many LLM tokens. Perhaps you’re experimenting ...
Yesterday Anthropic published two new cryptanalysis results, both outputs of Claude Mythos, their (still) unreleased advanced model. The first of these results attacks a signature scheme called HAWK, while the second is an improved attack against reduced-round AES. Anthropic also released a blog post describing the research process that produced these results. A few people … Continue reading Some thoughts about Anthropic’s new cryptanalysis results →
Introduction Counter Service is used across Grab’s anti-fraud platform to answer time-windowed count questions, such as recent ride requests by a user or failed payment attempts on a card. The service handles tens of thousands of queries per second (QPS) with about a billion requests per day, while maintaining strict requirements around latency and reliability to support real-time fraud rule evaluation. For most of its life, Counter Service was backed by a wide-column database that served the workload reliably as the service scaled. As part of a broader infrastructure review mandated at an…
Distroless adoption at Grab Grab is migrating from heavy base images to Distroless images to reduce security risks. By limiting each container to the application and its runtime dependencies, we shed non-essential binaries and associated Common Vulnerabilities and Exposures (CVEs). This migration is more than a compliance mandate; it is a strategic security decision to build a more resilient environment. Why Distroless requires rigorous testing Distroless adoption risk: Runtime failure Shifting to Distroless images introduces a critical technical risk: Runtime Failure. A service might build…
Introduction In Part 1, we introduced Palana, Grab’s Kubernetes-native secure execution platform for autonomous AI agents. We discussed the underlying need for isolated environments and covered its core design principles: treating isolation as the unit of trust, keeping credentials out of agent hands, and mediating all network access. In this second part, we’ll dive under the hood into Palana’s architecture, look at the agent lifecycle, and share the key lessons we learned from putting this system into production. Architecture overview The core request path looks like this: Figure 1. Palana…
Yesterday Apple announced a big step towards deploying real AI in their Siri ecosystem. In most ways this is good and inevitable: Siri is one of the world’s most widely-used voice agents, and it would be good if it didn’t suck. The idea that Apple would boost its capabilities with frontier models wasn’t so much … Continue reading The future of Siri, or: why private inference isn’t private enough →
Levi Boxell, Tilman Drerup, Alexandr LenkThe Economics Team at Instacart is an applied science team that operates at the intersection of machine learning engineering and economics. Similar to other applied science teams, our work involves a good chunk of engineering, steeped in statistics, math, theory, and strategy. And while that is still at the heart of what we do today, the surprisingly rapid emergence of artificial intelligence has also fundamentally altered our work in ways that we did not see coming.With this post, we want to provide a brief check-in and share an analysis of the…
Expedia Group Technology — PlatformHow AI changed the build vs. buy equation, and why discipline matters more than everPhoto by Ali Kazal on UnsplashAgentic coding tools and AI-native workflows have changed what’s possible for platform engineering teams. I lead Platform Engineering at Expedia Group™, one of the world’s largest travel technology companies. We power brands like Expedia®, Hotels.com®, Vrbo®, Orbitz®, and Travelocity®. My organization builds the technology that all of these brands and their partners run on: APIs, data and AI services, developer tools, CI/CD infrastructure, and…
This is the second in a series of posts about anonymous credentials. You can find the first part here. In the previous post, we introduced the notion of anonymous credentials as a technique that allows users to authenticate to a website without sacrificing their privacy. As a quick reminder, an anonymous credential system consists of … Continue reading Anonymous credentials: an illustrated primer (Part 2) →
This post has been on my back burner for well over a year. This has bothered me, since with every month that goes by, I become more convinced that anonymous authentication the most important topic we could be talking about as cryptographers. This isn’t just because I love neat cryptography: it’s that I don’t trust … Continue reading Anonymous credentials: an illustrated primer →