The New Stack Podcast

エピソード

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  Nvidia 23.07.2026 32分

  In this episode with The New Stack's Frederic Lardinois, NVIDIA’s Joey Conway says advances in AI over the past year have dramatically improved the capabilities of local models, making them practical for enterprise and personal use alongside frontier cloud models. Rather than replacing large models, Conway envisions a “system of models” where specialized local models handle routine, cost-sensitive, or privacy-focused tasks, while larger frontier models tackle more complex reasoning. He explains that organizations can fine-tune smaller open models using domain-specific data, creating expert AI agents that reflect the specialized roles found within businesses.
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  Meet Brain, the AI that decides when Azure is officially down 14.07.2026 19分

  In this episode, Mark Russinovich, CTO of Microsoft Azure revealed Brain, the AI-powered AIOps system that continuously monitors Azure’s health, detects incidents, identifies root causes, and increasingly automates responses such as pausing problematic deployments and notifying affected customers. Built on Azure Resource Graph, Brain creates a real-time digital twin of Azure, mapping dependencies across hundreds of services, data centers, and regions. Although Brain predates the generative AI boom, years of data engineering, standardized service-level indicators (SLIs), and machine learning laid the foundation for today’s capabilities.
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  What comes after attention? This startup says it already knows. 07.07.2026 20分

  Subquadratic is beginning to back up its ambitious claims with benchmarks and third-party validation for its SubQ 1.1 Small model, which uses its proprietary Sparse Attention (SSA) architecture to dramatically improve long-context performance. Rather than comparing every token to every other token, SSA selectively processes relationships, enabling near-linear scaling while maintaining high accuracy across context windows of up to 12 million tokens. The company reports near-perfect retrieval performance, competitive coding and reasoning benchmarks, and compute savings of up to 1,000x at maximum context lengths.
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  “The harness is where the hard work is”: Harness bets on agents that enterprises can trust in production 02.07.2026 19分

  Harness has introduced Autonomous Worker Agents, a new capability that allows enterprises to replace rigid CI/CD pipeline scripts with AI agents that can deploy applications, run tests, and perform security scans while operating under existing governance, security, and audit controls. Unlike Harness' existing expert agents, which assist developers with coding and pipeline creation, Worker Agents autonomously execute pipeline tasks within customer-controlled infrastructure. Agents are defined using simple Markdown files, draw context from the Harness Software Delivery Knowledge Graph, and run in sandboxed environments with scoped permissions and policy enforcement.
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  Public cloud vs. on-prem: Summit on where each workload belongs 25.06.2026 36分

  More than two decades after AWS helped usher in the public cloud era, many organizations are reassessing whether a cloud-first strategy still delivers the cost and operational benefits it once promised. While hyperscalers such as AWS, Azure and Google Cloud have built enormously successful businesses, cloud spending has become a growing concern for customers as usage expands and costs continue to rise.
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  Gusto Cofounder: An AI agent that runs payroll, HR, and benefits without waiting to be asked 18.06.2026 28分

  Gusto is betting that small businesses need more than another AI assistant. The company’s new product, Gusto Cofounder, is designed to act as a proactive business partner that helps owners manage and grow their companies, drawing inspiration from the traditional mom-and-pop partnership that co-founder and CTO Eddie Kim witnessed growing up. Unlike reactive chatbots, Cofounder can take action across payroll, HR, benefits, scheduling, insurance, and accounting workflows by leveraging data already stored within Gusto.
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  WeAreDevelopers is coming to the US to give unsung developers a bigger voice 11.06.2026 50分

  WeAreDevelopers, the Berlin-based developer conference founded in 2015, has grown into a major global event, attracting 15,000 developers from over 70 countries each year. In 2026, it expands beyond Europe with new editions in San Jose, California, and Bengaluru, India. Co-founder and CEO Sead Ahmetovic says the conference was created to give developers a stronger voice in an industry where marketers, salespeople, and entrepreneurs often receive more recognition.
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  Why MotherDuck refuses to fork DuckDB 27.05.2026 27分

  At a recent MCP developer summit, The New Stack spoke with Till Döhmen, AI lead at MotherDuck, about the company’s growing role in the evolving DuckDB ecosystem. Backed by investors including Tomasz Tunguz, MotherDuck is commercializing the open-source analytical database DuckDB while also expanding how employees interact with data through AI agents rather than traditional dashboards.
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  JetBrains is selling independence as the rest of AI coding picks sides 21.05.2026 26分

  JetBrains is positioning itself as the last major independent AI coding-tool vendor in a market increasingly tied to hyperscalers and foundation model labs. Speaking at Google Cloud Next, JetBrains VP of business development Mikhail Vink argued that competitors such as Microsoft Copilot, Anysphere Cursor, and Windsurf are all tied to either AI labs or cloud providers. By contrast, JetBrains says its independence allows customers to switch freely between models from OpenAI, Anthropic, and Google Cloud without being locked into one ecosystem.
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  Why Block handed Goose to the Linux Foundation 15.05.2026 19分

  What began as an internal developer tool at Block has evolved into a broader open-source initiative with industry backing. Goose, Block’s AI coding agent, followed a path similar to Amazon’s transformation of internal infrastructure into Amazon Web Services. After deploying Goose companywide, Block open-sourced the tool under a permissive license, leading to rapid adoption across the developer community.
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  Fivetran's CPO: closed data stacks won't survive the agent era 13.05.2026 22分

  At Google Cloud Next 2026, Fivetran Chief Product Officer Anjan Kundavaram argued that enterprise data systems are unprepared for the scale of AI-driven analytics. Unlike humans, AI agents can generate exponentially more queries, often routing them through the same expensive compute infrastructure. Kundavaram compared it to “using a Lamborghini to mow the lawn.” To address this, Fivetran introduced its “Open Data Infrastructure” vision and a benchmark designed to expose hidden AI workload costs in closed ecosystems.
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  The new FinOps problem isn't cloud bills 12.05.2026 28分

  At Google Cloud Next 2026, Finout co-founder and CEO Roi Ravhon and Google Cloud FinOps lead Pathik Sharma discussed how FinOps is rapidly evolving for the AI era. Ravhon argued that while cloud FinOps had a decade to mature, AI economics are forcing the industry to adapt within a year. Unlike traditional cloud workloads, AI costs are unpredictable because token usage varies even for identical prompts, while advanced reasoning models consume significantly more tokens despite falling prices.
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  How Microsoft is governing thousands of Kubernetes clusters without manual intervention 07.05.2026 25分

  Managing Kubernetes at fleet scale introduces significant complexity, especially as organizations expand from a few clusters to hundreds or thousands across cloud, on-premises, and edge environments. While GitOps remains the dominant model for declarative management, its traditional one-to-one repository-to-cluster approach struggles to handle multi-cluster realities such as global traffic routing, shared secrets, and unified observability. As Stephane Erbrech, Principal Software Engineer at Microsoft explains, the challenge shifts from deployment to governance—maintaining consistency, security, and compliance across a vast distributed system without manual intervention.
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  Why long-running AI agents break on HTTP and how Ably is fixing it 06.05.2026 31分

  In this episode ofThe New Stack Makers, Matthew O’Riordan, CEO of Ably, explains how infrastructure originally built for human collaboration is now well-suited for long-running AI agents. While Ably initially resisted positioning itself as an AI company, the rise of agents that reason, call tools, and operate over extended periods revealed a natural fit for its real-time communication platform.
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  Why the Linux Foundation adopted MCP, with Jim Zemlin and Mazin Gilbert 06.05.2026 32分

  Agentic AI is advancing rapidly, with open-source projects racing to keep pace with real-world deployment. To accelerate progress, the Linux Foundation consolidated key technologies—Model Context Protocol (MCP), Goose, and AGENTS.md—under the newly formed Agentic AI Foundation (AAIF) in late 2025. At the MCP Dev Summit in New York City, Linux Foundation CEO Jim Zemlin and newly appointed AAIF executive director Mazin Gilbert discussed this transition. Zemlin explained that leading both organizations was unsustainable, prompting a careful search for a leader with both technical expertise and collaborative leadership skills.
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  Fresh data has us asking, does AI demand Kubernetes? 01.05.2026 23分

  Kubernetes is rapidly emerging as the de facto operating system for AI, with two-thirds of organizations using it for generative AI inference and 82% adopting it in production. Its ecosystem — including tools like Kubeflow — enables organizations to build, scale, and retain control of AI systems through open, community-driven infrastructure. Bob Killen of CNCF and Liam Bollmann-Dodd of SlashData shared insights from recent reports showing that AI success still hinges on strong engineering fundamentals—especially internal developer platforms and overall developer experience.
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  How SUSE positions itself as the infrastructure layer for the AI era 30.04.2026 26分

  In this episode of The New Stack Makers, Pete Smails outlines how SUSE is evolving from its Linux roots into an AI-native infrastructure platform. Speaking at KubeCon + CloudNativeCon Europe 2026, Smails explains the company’s strategy to unify AI, containers and virtual machines on a single open, enterprise-ready foundation. Central to this is SUSE Rancher Prime, which enables consistent orchestration across hybrid and multi-cloud environments, alongside SUSE Virtualization for modernizing legacy systems.
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  Cut AI token usage by 96%? Here’s how AWS Strands Agents does it. 29.04.2026 28分

  In this episode of The New Stack Makers, AWS developer advocate Morgan Willis demonstrates Strands Agents, an open source agentic framework with rapid adoption since its launch. Using a simple accounting API, she walks through three approaches to retrieving a customer’s latest invoice, highlighting how design choices dramatically impact efficiency. The initial method maps each API endpoint to a separate tool, requiring five chained calls and consuming about 52,000 tokens. By shifting to intent-based tools—focused on outcomes rather than individual data operations—the same task is completed in a single call using just 2,000 tokens, improving both efficiency and reasoning.
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  Why Broadcom is betting on a private cloud comeback 28.04.2026 23分

  Broadcom’s VMware Cloud Foundation (VCF) is evolving from a turnkey infrastructure stack into a modern application platform, balancing simplicity with the flexibility demanded by Kubernetes-driven environments. At KubeCon + CloudNativeCon Europe 2026, Broadcom leaders highlighted how VCF is adapting to support platform engineering teams, cloud-native workloads, and large-scale operations.
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  Why Broadcom gave Velero to the CNCF Sandbox — and what it means for Kubernetes data protection 25.04.2026 22分

  Broadcom continues to expand its role as a major contributor to cloud-native open source, particularly within the Cloud Native Computing Foundation (CNCF) ecosystem. Its recent donation of Velero—originally developed by VMware—to the CNCF Sandbox reflects a strategic move to foster broader community trust and collaboration. By shifting governance away from vendor control, Broadcom aims to position Velero as a truly community-driven data protection standard for Kubernetes environments, encouraging wider adoption and contribution.