The New Stack Podcast

00:20:11

Dynatrace's $915M Arize deal bets AI agents are just...

The New Stack Podcast ·

2026/10/05

Dynatrace completed its $915 million acquisition of Arize on Oct. 1, combining Dynatrace’s application and infrastructure monitoring with Arize’s AI agent tracing and evaluation capabilities. The deal aims to provide a unified view of AI applications, from model behavior to the underlying systems supporting them.Dynatrace’s Sean O’Dell emphasized that despite their complexity, AI applications are still applications. Teams must understand whether responses are accurate, hallucinating or becoming too

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00:31:19

Bit Cloud’s next chapter starts after the AI builds...

The New Stack Podcast ·

2026/10/01

For many developers, turning an AI-generated prototype into maintainable software requires more than generating code—it requires infrastructure, collaboration, testing and review. In this episode ofThe New Stackpodcast, Bit Cloud founder and CEO Ran Mizrahi discusses Bit Cloud 2.0 and Hope, the company’s AI builder, and how they connect application creation with the work that follows.Mizrahi explains how reusable components, authentication and integrations can help teams avoid duplicating work,

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00:23:51

CloudBees just committed to an AI-first pivot. Here's...

The New Stack Podcast ·

2026/09/30

CloudBees CEO Mo Plassnig is leading the CI/CD company through a major transformation as generative AI reshapes software development. Returning to CloudBees eight years after joining through its acquisition of CodeShip, which he co-founded, Plassnig says the emergence of generative AI renewed his interest in DevOps and the opportunities ahead.His central concern is the dramatic increase in code generated by AI. Rather than focusing on predictions that autonomous agents will replace developers,

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00:30:49

A third option is emerging in the fight over AI and...

The New Stack Podcast ·

2026/09/23

The AI industry has faced a growing enterprise dilemma: companies want access to powerful proprietary AI models without risking sensitive data or intellectual property, while AI labs want to protect their model weights from being exposed to customers. Traditionally, businesses had to choose between proprietary models with potential data-leakage concerns or open-weight models that lagged behind the frontier. Vast Data co-founder Jeff Denworth argues that a new approach can address both sides of the

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00:26:01

Drowning in AI pull requests: Harness's field CTO on...

The New Stack Podcast ·

2026/09/07

Harness Field CTO Martin Reynolds joins The New Stack to talk about what happens after coding agents start opening pull requests faster than anyone can review them. He explains how he first saw the bottleneck during early GitHub Copilot trials, the three ways enterprises are coping with the volume now, and why Harness rebuilt its Code Repository and launched AI Code Review for agent traffic. The conversation also covers GitHub's recent outages, the software delivery knowledge graph behind Harness's

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00:31:05

How to find failures without drowning in tracing data

The New Stack Podcast ·

2026/09/03

Traces provide a detailed view of a request’s journey through data, microservices and applications, helping SREs pinpoint where failures occur and resolve issues faster. But while tracing can reduce downtime and developer burnout, collecting every trace creates its own problems. Storing massive volumes of data is expensive, can burden the systems being monitored and makes it harder to find the information that actually matters.The solution isn’t abandoning tracing, but being smarter about what gets

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00:26:18

Why CPUs still matter in the age of AI agents

The New Stack Podcast ·

2026/08/11

As AI evolves from conversational chatbots to autonomous agents, CPUs are becoming an increasingly important part of the infrastructure equation. In this episode, The New Stack speaks with Bhumik Patel of Arm and Mo Farhat of Google about how CPUs act as an “air traffic controller” for agentic workloads, handling orchestration, data preparation, semantic search, vector databases, code execution and API calls alongside GPUs and TPUs. Smaller AI models, including summarizers and evaluators, can also

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00:35:57

Why Doist Says Less AI Can Deliver More

The New Stack Podcast ·

2026/07/31

Doist CTO Gonzalo Silva says AI is reshaping software development, but success depends on restraint rather than rapid feature expansion. Instead of chasing every AI capability, Doist prioritizes “subtraction over addition,” removing features that fail to deliver lasting value despite development investment. After experimenting with nearly 20 AI concepts, the company found success with Ramble, an AI-powered voice task capture feature, while remaining model-agnostic through rigorous testing and

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00:30:07

Why your company should (try to) build its own AI SRE

The New Stack Podcast ·

2026/07/30

As AI coding agents accelerate software development, they also create new challenges for site reliability engineers (SREs), who are increasingly responsible for debugging systems that no single human fully understands. In this episode ofThe New Stackpodcast, Sam Farid and Nate Heinrich of Chronosphere argue that AI agents should also be used for root-cause analysis, helping teams diagnose failures more quickly as model capabilities continue to improve. Rather than immediately purchasing a

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00:32:51

Nvidia

The New Stack Podcast ·

2026/07/23

In this episode with The New Stack Agents, 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

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00:19:27

Meet Brain, the AI that decides when Azure is...

The New Stack Podcast ·

2026/07/14

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,

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00:20:19

What comes after attention? This startup says it...

The New Stack Podcast ·

2026/07/07

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

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00:19:42

“The harness is where the hard work is”: Harness bets...

The New Stack Podcast ·

2026/07/02

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

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00:36:38

Public cloud vs. on-prem: Summit on where each...

The New Stack Podcast ·

2026/06/25

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.On this episode of The New Stack Makers, Summit’s Byron Dill argues that many enterprises have

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00:28:58

Gusto Cofounder: An AI agent that runs payroll, HR,...

The New Stack Podcast ·

2026/06/18

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 CTOEddie Kimwitnessed growing up. Unlike reactive chatbots, Cofounder can take action across payroll, HR, benefits, scheduling, insurance, and accounting workflows by leveraging data already stored

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00:50:10

WeAreDevelopers is coming to the US to give unsung...

The New Stack Podcast ·

2026/06/11

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. He believes developers, despite

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00:27:43

Why MotherDuck refuses to fork DuckDB

The New Stack Podcast ·

2026/05/27

At a recent MCP developer summit, The New Stack spoke with Till Döhmen, AI lead atMotherDuck, about the company’s growing role in the evolving DuckDB ecosystem. Backed by investors includingTomasz Tunguz, MotherDuck is commercializing the open-source analytical databaseDuckDBwhile also expanding how employees interact with data through AI agents rather than traditional dashboards.Döhmen emphasized the company’s close collaboration withDuckDB FoundationandDuckDB Labs. Because MotherDuck operates

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00:26:04

JetBrains is selling independence as the rest of AI...

The New Stack Podcast ·

2026/05/21

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 developmentMikhail Vink argued that competitors such as Microsoft Copilot, Anysphere Cursor, and Windsurfare all tied to either AI labs or cloud providers. By contrast, JetBrains says its independence allows customers to switch freely between models fromOpenAI,Anthropic, andGoogle

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00:19:30

Why Block handed Goose to the Linux Foundation

The New Stack Podcast ·

2026/05/15

What began as an internal developer tool atBlockhas 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 intoAmazon Web Services. After deploying Goose companywide, Block open-sourced the tool under a permissive license, leading to rapid adoption across the developer community.But according to Manik Surtani, Office of the CTO, Block and Co Founder of Agentic AI Foundation,

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00:22:55

Fivetran's CPO: closed data stacks won't survive the...

The New Stack Podcast ·

2026/05/13

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

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