Agentic ai
We track 43 posts about Agentic ai from 15 engineering blogs. Most active: Nvidia, Stack Overflow, Elastic. Latest post: Oct 8, 2026.
Companies writing about Agentic ai
Recent posts
Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents (opens on the source site)
Nvidia ·
Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended. Developers are combining frontier AI models with NVIDIA Omniverse libraries to help carry out that work — building applications for exploring scenarios, investigating failures and improving designs. Developers direct AI agents through […]
Can Agentic AI Find the Security Vulnerabilities Other Tests Miss? (opens on the source site)
Security teams are good at finding problems. The difficult part is finding the right problems across a growing codebase, a changing application and the connections between them. A scanner can flag a known pattern quickly. A skilled tester can follow a complicated line of enquiry. Neither has unlimited time, and there will always be a question nobody thought to ask. Could AI agents take on more of that investigative work? I think the answer is yes, provided we are precise about what “find” means. Agents can produce leads, test assumptions and uncover issues that established checks have missed.…
NVIDIA, Microsoft Kick Off a New Beginning for Windows PCs With RTX Spark and AI Agents (opens on the source site)
Nvidia ·
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 […]
Why Telecom Operators Are Building Their AI Strategy on Open Models (opens on the source site)
Nvidia ·
Telecom operators are increasingly building their AI strategies on open models — and the reasons go beyond mere cost. Open models give telcos the ability to trust, control and customize AI across their most critical workloads — from autonomous networks to customer care. NVIDIA’s latest State of AI in Telecommunications report reflects this shift, with […]
NVIDIA DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AI (opens on the source site)
Nvidia ·
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, […]
How NVIDIA GPUs Help Accelerate OpenAI’s GPT-6 Astra Ultrafast (opens on the source site)
Nvidia ·
GPT-6 Astra Ultrafast, running on NVIDIA Blackwell GPUs, is available now in the OpenAI API and to eligible ChatGPT Work and Codex users. Accelerated by inference optimizations through OpenAI’s models that tap into the capabilities of the NVIDIA Blackwell architecture, Ultrafast offers up to 8x faster token generation than the Astra Standard mode. For developers, […]
Organizations need decision-grade knowledge. AI makes it urgent. (opens on the source site)
AI can make the first part remarkably fast. It can find the page, the discussion and the person who might know. The harder work begins when those sources disagree, or when they become stale.
From Training to Production, NVIDIA and CoreWeave Close the Loop on Agentic AI (opens on the source site)
Nvidia ·
Building on nearly a decade of co-engineering, CoreWeave has built NVIDIA compute, networking and software into a cloud purpose-built for AI that’s still returning on investment across multiple generations of deployment. Now, CoreWeave is bringing the next generation of NVIDIA infrastructure to production. At CoreWeave Fully Connected, running this week in San Francisco, CoreWeave announced […]
Professional skepticism is a dev’s best skill (opens on the source site)
Ryan chats with David Burns, Head of Developer Advocacy and Open Source at BrowserStack, about the value of professional skepticism in an AI-driven world, applying test-driven development to agentic engineering, and why fixing flaky tests comes down to managing application state.
NVIDIA Isaac ROS 5.0 Advances Agentic, Open Source Robotics Development (opens on the source site)
Nvidia ·
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 […]
Building the Operating Model for Agentic AI at Expedia Group (opens on the source site)
Expedia ·
Expedia Group Technology — InnovationHow Expedia Group is getting organizationally and operationally ready for agentsPhoto by Willian Justen de Vasconcellos on UnsplashAt Expedia Group™, agents are showing up across the business: traveler-facing trip planners, partner tools, internal copilots, log readers, and a growing number of workflows that make teams say, “We tried this, and it was surprisingly useful.”That energy is exactly what AI should unlock. But without shared foundations, it can also create fragmented technology choices, partial governance stories, and promising experiments that…
Haters think AI agents can't write GPU code? This'll ROCm (opens on the source site)
Ryan chats with Anush Elangovan, VP of Software at AMD, about ROCm's open-source unified toolchain for GPUs, how agentic AI is drastically lowering the barrier to entry for low-level hardware programming, and the rapid convergence of software and hardware development timelines.
AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack (opens on the source site)
Nvidia ·
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, […]
From better privacy to our new ChatGPT plugin, here's what's new on Stack Overflow for Agents (opens on the source site)
We've learned a lot in the last three months since launching Stack Overflow for Agents, our API-first knowledge exchange for agents. Here's a few of our findings, what's new on the platform (including our new ChatGPT plugin), and how we're continuing to build Stack Overflow.
From better privacy to our new ChatGPT plugin, here's what's new on Stack Overflow for Agents (opens on the source site)
We've learned a lot in the last three months since launching Stack Overflow for Agents, our API-first knowledge exchange for agents. Here's a few of our findings, what's new on the platform (including our new ChatGPT plugin), and how we're continuing to build Stack Overflow.
Inside Hostinger’s AI-first approach: What the agentic AI era means for businesses (opens on the source site)
Instead of waiting for a prompt and returning a response as chatbots do, AI agents can use tools, make decisions, and take actions to work toward a goal. But how well does that… The post Inside Hostinger’s AI-first approach: What the agentic AI era means for businesses appeared first on Hostinger Blog.
6 Benefits of Sandbox Environments (and How Docker Sandboxes Delivers Them) (opens on the source site)
Docker ·
Learn about the key benefits of sandbox environments with Docker including isolation, definable controls, secrets credential handling, and more.
Scaling your money safely with AI (opens on the source site)
Ryan chats with Srini Venkatesan, CTO at PayPal, about validating AI-generated deterministic code for security, developing autonomous SDLC harnesses with iterative feedback loops, and creating a seamless headless checkout experience.
Sparks Fly: NVIDIA Accelerates Local AI at IFA 2026 (opens on the source site)
Nvidia ·
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 […]
Decoding the new AI lingo: Loops, harnesses, squads, hill climbing… oh my! (opens on the source site)
From loop engineering to harnesses, squads, and open weights, the GitHub Podcast breaks down the AI terms showing up in developer conversations. The post Decoding the new AI lingo: Loops, harnesses, squads, hill climbing… oh my! appeared first on The GitHub Blog.
How we make AI coding more cost efficient without sacrificing task quality (opens on the source site)
GitHub ·
Why shorter outputs can cost more, and how GitHub Copilot reduces wasted work across the complete coding task. The post How we make AI coding more cost efficient without sacrificing task quality appeared first on The GitHub Blog.
Making Your Data Ready for Agentic AI (opens on the source site)
Lots of organizations are excited about what AI can do to streamline their processes, save money, and juice margins. But AI's capabilities are founded on the data that AI accesses, and for many organizations that foundation is little more than sand. Pramod Sadalage and Prem Chandrasekaran write about how to build a reliable foundation of data that can be accurate and trusted. more…
Delivering Vera: NVIDIA’s First CPU Built for Agents Is Shipping Now (opens on the source site)
Nvidia ·
NVIDIA Vice President of Hyperscale and HPC Ian Buck hand-delivers Vera CPU systems across the AI ecosystem as Vera begins shipping at scale.
The Context Tax of Agentic Development (opens on the source site)
Expedia ·
Expedia Group Technology — EngineeringMissing context used to slow a team down, with agents in the loop it speeds up the wrong work insteadPhoto by Harley-Davidson on UnsplashWhen we started using agents more seriously inside the team, the first bottleneck was not code generation —It was context coordination.That sounds like a documentation problem, but it did not feel like one. It felt like a delivery problem. A human engineer who is missing context usually slows down. They ask someone, search through old notes, or wait for the next sync. An agent does not always slow down. It can keep…
Inside LinkedIn's cognitive memory agent for agentic personalization (opens on the source site)
Ryan is joined by Praveen Bodigutla, Principal AI Researcher at LinkedIn, to chat about the four-layer memory system his team built to give LinkedIn's hiring assistant a persistent, personalized state.
Up to 30x More Work Per Watt: NVIDIA Vera Rubin NVL72 Sets a New Efficiency Standard for AI Agents (opens on the source site)
Nvidia ·
According to OpenRouter data, agentic AI workloads consume 15x more tokens than a simple chat request. Why? Consider what happens when an AI agent researches a company for an investment decision. The agent queries financial databases, searches news and filings, invokes a sub-agent to run peer comparisons and model valuations, then synthesizes everything into a […]
How SLED can win the cybersecurity race with agentic AI (opens on the source site)
Elastic ·
AI-accelerated attacks are outpacing SLED security teams. Learn how state, local, and education organizations are closing the gap by fixing their data foundation first.
Building an agentic SDLC with a QA engineering mindset (opens on the source site)
Ryan welcomes Suneet Malhotra, Senior Manager of Test Engineering at Motorola Solutions, to chat about building end-to-end agentic SDLC pipelines using MCPs, using Cohen’s kappa to evaluate multiple LLMs-as-judges, and how you can improve requirements by shifting QA left through a specification enrichment stage immediately after the design phase.
No Dumb Questions: What is AI context architecture? Why not just build your own? (opens on the source site)
In this No Dumb Questions, Phoebe asks Stack’s Engineering Manager Doug Whitley and Product Manager Ash Zade everything she wants to know about AI context architecture. What exactly is it? Why is it so important? What makes for good AI context architecture? Why buy one when you can build your own?
NVIDIA and Local AI Community Fuel Open Source Models and Intelligent Agents (opens on the source site)
Nvidia ·
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 […]
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This page is generated automatically from the engineering blogs we follow. Every post links to its source, where it was published. See all sources.