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PODCAST

The MonkCast

Join the developer-focused industry analysts at RedMonk as they discuss news and trends in the software space with leaders and practicioners in cloud, AI, IaC, security, DevOps, developer relations, observability, data, and more.Can"t get enough of the Monks? Visit the RedMonk YouTube channel or check out our research at RedMonk.com.You can also follow RedMonk on Bluesky, Twitter (X), and LinkedIn.Meet RedMonk"s AnalystsJames Governor, Principal Analyst & Co-founder@monkchips, LinkedIn,

technology

All Episodes

00:46:02

Inside the AWS Agent Toolkit with Liam Greenamyre

The MonkCast ·

2026/10/08

Why do some teams see massive speedups from AI coding agents while others barely notice a difference? In this RedMonk New Builders Conversation with AWS, Kate Holterhoff talks with Liam Greenamyre, Principal PM of Developer Platforms at AWS, about the uneven impact of AI on software development and how to restructure work so agents can succeed. Liam explains why making tasks verifiable is the single biggest lever, then walks through the Agent Toolkit for AWS: a remote MCP server, 100+ skills,

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00:28:49

Securing Enterprise Open Source w Coalitions &...

The MonkCast ·

2026/10/01

Most of an enterprise application stack is open source that nobody is paid to maintain. Gunnar Hellekson of Red Hat puts it at 60 to 70 percent, and that gap is what IBM's Lightwell is built for. He walks James Governor through the mechanics: members scan and triage their own dependencies, submit what they find with the source identity stripped out, and get fixes back after an embargo period before those fixes reach a wider network and, where a maintainer still exists, the upstream project

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00:20:12

Platform Engineering 2.0: Evolution, Not a Reset with...

The MonkCast ·

2026/09/29

In this RedMonk conversation, Pankaj Gupta, Senior Director of Product Marketing, VCF Division, at Broadcom, chats Platform Engineering in the AI era with Stephen O'Grady. Gupta explains that more than 90% of organizations run an internal platform, but despite widespread adoption, Gupta thinks most platforms are hitting two ceilings. They were built, in his phrase, "AI blind," and they were built for exactly one user, the developer. AI has already moved the bottleneck from writing code to getting it

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00:58:01

The BOM Explosion & Why PQC Stopped Being 10 Years...

The MonkCast ·

2026/09/24

In this episode, David Pollak, founder and CEO of Spice Labs, and Allan Friedman, Senior Technical Advisor at the Institute for Security and Technology, discuss the importance of software supply chain security, bills of materials, and the emerging field of post-quantum cryptography with Kate Holterhoff. Friedman, "the godfather of SBOMs," gives a state of play for 2026: where the tooling has matured, where it still falls short, and why the Cyber Resilience Act is about to make this everybody's

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00:48:54

Good Wigs & Golden Paths: Dev Tools in the AI Era...

The MonkCast ·

2026/09/17

Kate Holterhoff talks with Victoria Melnikova, head of new business at Evil Martians, about what product market fit looks like for developer tools in 2026. Drawing on research by Evil Martians CEO Irina Nazarova, Melnikova argues PMF is a spectrum, not a switch. Product signals and revenue signals are separate things, and the gap between them tells you where to focus. Her advice to most early stage founders? Your product is probably fine, go do sales. Their conversation covers why dev tools resist

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00:21:35

"Somebody is always paying the token bill": AI and...

The MonkCast ·

2026/09/10

Generated code is arriving faster than maintainers can read it. RedMonk's Steve O'Grady discusses this new reality with Jason Brooks and Brian Proffitt, both managers in Red Hat's Open Source and AI Program Office. Proffitt's teams are adding what he calls human speed bumps upstream: PR templates that ask whether AI wrote the patch, and if so, what the prompt was. The point is transparency, not blocking the flow. Brooks argues for the importance of human decision makers because writing code may cost

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00:19:45

From Stock Photos to Trillions of Artifacts:...

The MonkCast ·

2026/09/03

In this conversation recorded at Fastly Xcelerate, James Governor talks with Jefferson Frazer, Director of AI at Shutterstock, about how a two-decade-old media company reinvented itself for the age of foundation models. Frazer explains how Shutterstock's long history of human-reviewed, meticulously labeled content left it uniquely positioned when hyperscalers began seeking diverse, web-scale datasets for multimodal training. Frazer digs into the technical backbone too: a 100-plus petabyte footprint,

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00:50:58

Why ChatGPT Recommends Your Competitor: LLMs & the...

The MonkCast ·

2026/09/01

Why does ChatGPT recommend one DevTool over another, and what can founders do about it? In this RedMonk Conversation, Kate Holterhoff sits down with Adam DuVander, Principal Consultant at EveryDeveloper and author of Developer Marketing Does Not Exist, to explore how AI assistants are transforming software discovery. They discuss Adam’s LLM Rank research, which tracks how models like ChatGPT, Claude, and Gemini recommend developer tools, and why those recommendations often differ. The conversation

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00:38:09

Why AI Agents Are Blowing Up Your Telemetry Bill with...

The MonkCast ·

2026/08/27

Most conversations about AI agents stay on what agents can do. Less attention goes to what they leave behind: logs, traces, and tool-call chains at a volume nobody's pipeline was built for. Nikhil Mungel, Head of AI R&D at Cribl, talks with Kate Holterhoff about why that is becoming observability's cost and noise problem. They discuss why token prices keep falling while total spend climbs, how employee spend differs from the tokens a product burns serving customers, credit-based versus

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00:34:54

The Digital Sovereignty Questions Every Enterprise...

The MonkCast ·

2026/08/25

James Governor sits down with Jason Willeford, Global Lead for Secure Global Support at Red Hat, to dig into digital sovereignty and why it's become such a big deal for European enterprises. Jason explains Red Hat's Confirmed Sovereign Support, launched last year, which keeps EU customer data and the engineers handling it inside the EU. They cover what sovereignty actually means, why banks and telcos now care about it as much as public sector agencies do, and how AI complicates the picture when you

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00:17:18

The Data Behind the Agents with MongoDB's Boris...

The MonkCast ·

2026/08/20

In this RedMonk conversation, Stephen O'Grady sits down with Boris Bialek, VP of Industries at MongoDB, and Raman Jatkar, Head of Product Management for Purple Fabric at Intellect Design, to examine where agentic AI and data platforms converge. The discussion makes the case that data, not models, determines enterprise outcomes. Raman reframes hallucination as a data architecture and sequencing problem, solved through deliberate ingestion, chunking, and retrieval strategies rather than model swaps

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00:46:47

Evidence Over Certificates: John Ellis on the Eclipse...

The MonkCast ·

2026/08/13

What does it mean to trust software? For this RedMonk Conversation, Kate Holterhoff sits down with John Ellis, President of Codethink and the contributor to the Eclipse Trustable Software Framework, to pull that question apart. Ellis leans on an old image: the bridge builders who once slept under their own bridges to prove the work was sound. Modern software rarely faces that kind of test, even when it steers a car or flies a plane. He explains where trust tends to break, especially the integration

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00:19:59

From Dashboards to APIs: Day Two Operations in VCF...

The MonkCast ·

2026/08/12

In this MonkCast conversation, Rachel Stephens talks with Sehjung Hah, a product marketing engineer at Broadcom, about how VMware Cloud Foundation 9.1 is shifting private cloud operations from click-driven dashboards toward programmable, API-first workflows.Hah walks through the expanded VCF API surface that lets developers pull network details, vSphere diagnostics, and real-time infrastructure health in a self-service fashion. They also discuss a new fleet management capability that centralizes

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00:50:03

Dealing with the Next Bottleneck: Build Management at...

The MonkCast ·

2026/08/06

AI agents are writing code faster than anyone can build, test, and ship it. James Governor talks with Helen Altshuler, CEO and co-founder of EngFlow, about why the bottlenecks that once happened at Google scale are now showing up everywhere. Helen traces the story back to Google's 2008 push for five-minute builds, which produced Blaze and eventually Bazel, and explains why that system is finally having its moment a decade after it was open sourced. The numbers are hard to ignore: EngFlow's customers

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00:50:17

"Don't Submit Code You Don't Understand": Angie Byron...

The MonkCast ·

2026/08/04

Open source has a new problem: you often can't tell whether the contributor on the other end is a person or an agent working on their behalf. In this RedMonk Conversation, Kate Holterhoff talks with Angie Byron, Senior Manager of Community and Advocacy at Temporal and lead of applied AI at Drupal, about AI's effects on open source communities. They discuss the issue of AI-generated slop on maintainers, the credit and trust systems AI breaks, and the policies projects are testing, from disclosure

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00:43:40

Why the Gateway Approach to Agents Sucks (and What to...

The MonkCast ·

2026/07/30

James Governor sits down with Marek Poliks, Head of AI at LaunchDarkly, for a spicy conversation about what it actually takes to manage agents in production. Marek makes the case that feature flags were almost designed for this moment: pulling agents out of application code lets teams gate, roll back, and iterate on whole agent harnesses as testable variations rather than hard-coded entities. Along the way he argues that everyone is now experimenting in production whether they admit it or not, and

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00:46:25

Where Crochet Meets Code: Fiber Arts and the History...

The MonkCast ·

2026/07/28

What do Viking needlework, the Apollo guidance computer, and a $7 Etsy crochet pattern have in common? More than you'd think. In this episode of the MonkCast, Kate Holterhoff talks with Abbey Perini, web developer at Hygiena, technical writer, and prolific crafter, about the tangled history of fiber arts and programming. Abbey walks through a condensed version of her CodeMash talk, from the earliest knitted scraps around 6500 BCE to the women who wove core rope memory for NASA and got written off as

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00:51:01

Charity Majors on AI, Determinism, Instrumentation, &...

The MonkCast ·

2026/07/23

James Governor talks with Charity Majors, Co-founder and CTO of Honeycomb, about what AI is doing to engineering practices. Majors argues that non-determinism takes more discipline, not less, and every CEO who wants their AI cookies has to eat their broccoli first. Agents in production are finally forcing teams to do the instrumentation work they should have done years ago. They get into Chad Fowler's Phoenix architectures and the idea that the system, not the code, holds the truth about how

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00:26:07

Tech for Chickens with JT Perry

The MonkCast ·

2026/07/21

In this MonkCast Conversation, RedMonk Research Director Rachel Stephens talks with JT Perry, co-founder of Barn Analytics, about building ChickenSense — a hardware and software product that uses RFID tags and in-coop sensors to monitor backyard chicken health. JT shares how his own farming experiences led him to build a solution for detecting illness in egg-laying chickens before it's too late. They discuss the challenges of designing custom circuit boards for the first time, managing Bluetooth

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00:25:07

Going Down the Stack: AI Inference, Kernel Fusion,...

The MonkCast ·

2026/07/14

In this MonkCast conversation, RedMonk's James Governor talks with Paul Brookes, a senior AI engineer at TurinTech, about making AI inference faster and cheaper. TurinTech predates the generative AI boom, having spent years optimizing complex code with genetic algorithms, and now points those tools at the models themselves. Brookes walks through techniques like kernel fusion and model compilation that squeeze more tokens per second out of specific hardware, drawing on the company's work with Intel

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222 results

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