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 on OpenVINO and vLLM. The two get into running capable open models such as Qwen on local machines, the spiraling cost of AI , and why judging engineers by tokens burned misses the point. Brookes also describes Artemis and its discovery harness, which lets agents learn from past results, and traces his own route from quantum physics into low-level performance engineering.

This RedMonk conversation is sponsored by TurinTech.

Show notes: https://redmonk.com/videos/paul-brookes/

Chapters
00:00 Introduction to AI and TurinTech

01:42 Optimization Challenges in AI

04:30 Working with Semiconductor Companies

08:46 The Cost of AI and Local Model Deployment

11:29 Local Model Performance and Infrastructure

14:44 Partnerships and Breakthroughs with Intel

16:54 Key Techniques for Optimizing Inference

19:39 The Role of AI Engineers

21:50 Bridging the Gap with Customers

23:21 Harnessing AI for Continuous Improvement

Are internal developer portals dead? In this RedMonk conversation, Kate Holterhoff talks with Balaji Sivasubramanian, Senior Director, Product Management, Agentic AI Developer Platform at Red Hat, who isn't convinced. While some thought leaders claim that developers will soon live inside their own coding agents, making portals obsolete, Balaji argues that enterprises still need the golden paths and guardrails IDPs provide. Balaji's case is that a portal's UI matters less now, while the curated, verified context behind it matters more. Along the way they get into MCP's limits, context freshness, the rising cost of tokens, and why human judgment still beats an agent at some tasks.

This RedMonk conversation is sponsored by Red Hat.

Show notes: https://redmonk.com/videos/balaji-sivasubramanian/

Chapters
00:00 Introduction to the Conversation

00:54 Balaji's Role at Red Hat

01:58 The Importance of Developer Portals in AI

02:30 Debunking the 'Death' of Developer Portals

04:12 The Evolution of User Interfaces and AI Agents

06:50 The Impact of AI on Developer Workflows

10:32 Understanding AI Hallucinations in Development

13:25 Navigating Permissions and Audit Logs with AI

15:37 Challenges of Agent-Driven Actions

23:49 Transforming Ticketing Systems with AI

26:25 Navigating Enterprise Complexity

31:33 Building Effective Agents

36:36 The Challenge of Freshness in Data

43:16 Ensuring Safe Agent Deployment

49:01 The Future of Portals in an Agentic Era

RedMonk's James Governor sits down with Mina Ilieva, AI engineer at TurinTech AI, to talk about a problem everyone in 2026 recognizes: we're shipping a lot of code slop. Ilieva explains how TurinTech's platform, Artemis, fights back. It began life running a genetic algorithm that scores candidate code against a fitness function, and it now has a newer tool, Discovery, built on an empirical loop where agents form hypotheses, turn them into experiments, and verify every change before a human approves it. The two get into what clients actually optimize for — throughput, latency, memory, runtime — and why none of it is free. Ilieva walks through real wins with Intel's vLLM work, QuantLib, BLAKE3, and a quantized Nemotron model. They also take apart "token maxxing," the habit of burning tokens to look busy, and make the case that verification skill, not raw output, is what keeps engineers employable.

This RedMonk conversation is sponsored by TurinTech AI.

Show notes: https://redmonk.com/videos/mina-ilieva/

Chapters

00:00 Introduction to AI and TurinTech

02:52 Code Optimization and Its Importance

05:35 Use Cases and Client Engagements

08:55 Token Efficiency and Cost Management

11:46 The Role of AI in Software Development

14:47 Trade-offs in Optimization

17:37 Future of AI and Model Deployment

RedMonk's Kate Holterhoff sits down with Chris DeMars, Senior Developer Advocate at TuxCare, for a conversation about patching in the AI era. Chris started writing code in Q Basic in the mid-90s and now spends his time at conferences explaining the JavaScript supply chain to people who'd rather not think about it: typosquatting, the Shai-Hulud worm, and getting locked out of his own VS Code editor at Vueconf. They get into why a Dockerfile that Claude wrote him pulled in an insecure version of Node, why most enterprise customers are nowhere near migrating off end-of-life software regardless of the modernization story being sold to them, and what rebootless live patching actually looks like once a CVE drops.

Show notes: https://redmonk.com/videos/chris-demars/

Chapters
00:00 Introduction and Background of Chris DeMars
02:59 The Role of Developer Advocacy in Security
05:52 JavaScript Ecosystem and Security Challenges
08:54 AI's Impact on Security Practices
11:42 Developers' Awareness of Security Issues
14:50 The Importance of Patching and CVEs
17:37 The Future of Security in Development
21:09 The Process of Fixing Vulnerabilities
24:01 Modernization vs. Legacy Systems
24:50 Engagement with the Open Source Community
26:45 Challenges for Open Source Maintainers
27:36 Enterprise vs. Smaller Companies
29:39 The Role of AI in Upgrading Systems
33:37 Compliance and Regulation Concerns
38:24 Understanding Live Patching
41:32 Closing Thoughts and Future Directions

At Microsoft Build 2026, RedMonk's James Governor sits down with Kyle Daigle, COO at GitHub and CMO of Developer at Microsoft, to unpack the event. The conversation looks at Microsoft's first homegrown frontier models, the growing importance of "token economics", new NVIDIA Spark-powered hardware, the push toward containerization and isolation for agents both on-device and in the cloud, and Windows improvements aimed at a calmer developer experience. Daigle also previews the agent-first GitHub Copilot app with its shareable canvases, and addresses developer anxiety amid industry layoffs, insisting Microsoft's principle remains keeping developers in the loop.
This RedMonk conversation is sponsored by Microsoft.

Show notes: https://redmonk.com/videos/kyle-daigle/

Chapters
00:00 Introduction to Developer Marketing at Microsoft
02:08 Microsoft's Frontier Models and AI Innovations
05:06 Local Model Execution and Security Concerns
07:58 The Role of AI in Developer Productivity
11:08 GitHub Copilot and the Future of Software Development
14:20 Windows for Developers: Enhancements and Configurations
17:05 Hardware Partnerships and Performance Expectations
20:10 Supporting Developers in a Changing Landscape
23:12 Addressing Reliability and Scalability Challenges

Kate Holterhoff sits down with Jack Herrington, Principal Software Engineer at Netlify and maintainer of TanStack AI, to walk the May 2026 TanStack npm supply-chain compromise. They discuss the incident in depth, including the risk of chained attacks, the role of GitHub Actions, what we know about the hackers and mini shai-hulud. Jack also weighs in on why developers are becoming more security aware and why the supply chain and CI/CD is more important than ever in the AI era.

Show notes: https://redmonk.com/videos/jack-herrington/

Chapters:
00:00 Introduction and Background
09:08 The TanStack Hack Incident
19:26 Security Insights and Lessons Learned
26:45 Evolving Cybersecurity Threats
34:22 Understanding Vulnerabilities in Open Source
40:47 AI in Development and Security Concerns
49:50 Advice for Open Source Maintainers

In this MonkCast Conversation, RedMonk analyst Kate Holterhoff talks with Evan You, the creator of Vue.js and Vite and founder of VoidZero, just days after VoidZero announced joining Cloudflare. Evan clarifies what the deal does and does not include, as well as the history of how it came about. He's also candid about the motives that inspired VoidZero to look for partnership with a cloud provider. They also discuss the state of open source and frontend tooling in 2026. Can independent open source infrastructure survive today without getting bought by a bigger platform? Why Evan is still unconvinced that Vue needs a foundation. What is AI doing to the economics, and the craft, of building in the open?

Cloudflare is a RedMonk client, but this RedMonk conversation is unsponsored.

Show notes: https://redmonk.com/videos/evan-you/

Chapters:

00:00 Introduction to Evan You and VoidZero

02:37 The Acquisition and Its Implications

05:26 Vue and Vite: Independence and Future Directions

08:15 Monetization Challenges and Business Models

11:23 Collaboration with Cloudflare and Development Experience

14:34 Community Concerns and Competition in the Market

17:08 Funding and Support for Open Source Contributors

29:34 Building a Community and Team Dynamics

31:02 Lessons Learned from Open Source Monetization

38:26 Navigating AI's Impact on Open Source

44:24 The Foundation Debate for Open Source Projects

49:31 The Bundler Wars: Performance and Artifact Size

Google Cloud Run is a few years old now, and in this RedMonk Conversation, James Governor sits down with one of its founders, Steren Giannini, to talk through where it came from and where it's going. Back in 2017, most people assumed serverless meant functions. Steren's team disagreed. They figured the real value of serverless was simplicity, scale, and paying only for what you actually use, and that the thing you deploy should be a container, not a function. That call ended up shaping the whole product. James and Steren get into the decisions that gave Cloud Run its longevity: staying opinionated about simplicity without boxing developers in, a Kubernetes-compatible API designed so you can walk away whenever you want, and an open debt to Heroku's git-push experience. Steren is also honest about the messier parts, from fighting feature creep, to building the enterprise networking and security that big customers needed, to handling the traffic that AI agents are now generating. Looking ahead, Steren argues that the next generation of developers might be anyone who can describe an app in a prompt and hit publish.

Google is a RedMonk client, but this is an independent piece of content.

Show Notes: https://redmonk.com/videos/steren-giannini-google-cloud-run/

Chapters:
00:00 Introduction to Google Cloud Run
01:08 The Origins of Cloud Run
02:12 Design Principles and Longevity
05:35 Openness and Portability in Cloud Run
07:23 Open Source Strategy and Knative
10:42 Simplicity and User Experience
12:22 Progressive Complexity in Design
14:23 Embracing Developer Standards
16:21 Learning from Heroku
18:02 Focus on Quality and User Feedback
19:44 Cloud Run's Satisfaction and Popularity
22:01 The Rise of AI Agents
24:56 Adapting to Evolving Workloads
27:44 Collaboration with Other Google Cloud Products
30:23 Innovations for AI and Long-Running Workloads
31:19 Notable AI Companies Using Cloud Run
34:28 Cloud Run's Growth and Success
37:19 Infrastructure Preparedness for Scale
40:02 Scaling and Resource Management in Cloud Services
44:09 Enterprise Features and Customer Needs
46:53 Refocusing on Developer Experience
51:16 Simplifying Complex Systems
56:50 Security Challenges and Solutions
01:05:03 Real-World Applications and Use Cases
01:10:30 The Future of Cloud Run and AI Integration

JSON Schema might be the most important technology you've never thought about. In this MonkCast, Rachel Stephens sits down with Juan Cruz Viotti, founder of SourceMeta and member of the JSON Schema Technical Steering Committee. They discuss how JSON Schema is the backbone of OpenAPI specs and just might be the language of AI.

Show notes: https://redmonk.com/videos/juan-cruz-viotti-json-schema/

Chapters

00:40 - What is JSON Schema?

03:00 - JSON Schema in OpenAPI and AI

05:30 - Challenges in API Ecosystem Management

07:00 - Siloed API Specs and Governance Issues

08:00 - Benefits of Schema Layer Governance

09:30 - JSON Schema as a Data Dictionary

11:00 - JSON Schema in AI and Code Generation

13:30 - SourceMeta's Ecosystem and Tools

16:00 - Small Teams and Infrastructure Innovation

16:50 - AI, Documentation, and Data Semantics

17:30 - Vision of the Future

Kate Holterhoff sits down with Tanya Janca, Secure Coding and AI Trainer at SheHacksPurple, to talk about what AI is doing to application security. Tanya's take: we're driving a car at three times the speed limit after 25 beers. AI writes huge portions of production code, most developers were never taught to review code for security in the first place, and release velocity keeps climbing. The conversation gets into the difference between using AI to help you code and full-on vibe coding, why context collapse trips up LLMs on security decisions, and what's wrong with bolting AI onto legacy AppSec tools instead of building new ones. Tanya also weighs in on Anthropic's Mythos vulnerability-finding model, argues that the bug bounty economy is heading for collapse, discusses supply chain security and the future of the SDLC, and wraps by explaining Canada's Petition E-7115, which Janca helped draft to require secure coding standards across the Canadian federal government.

Show notes: https://redmonk.com/videos/tanya-janca/

Chapters
00:00 Introduction to AI and Security
02:58 The Current Security Landscape
05:49 Understanding Context Collapse in AI
09:51 The Role of Vibe Coding
13:50 Teaching Security in the Age of AI
16:45 The Need for New Security Tools
25:02 The Evolving Role of Bug Bounties
27:50 The Future of Pen Testing in an AI World
30:01 The Evolving Role of Application Security
31:46 Reimagining the Software Development Lifecycle
40:54 Rethinking Supply Chain Security
48:37 Advocating for Secure Coding Legislation