Bret and Nirmal are joined by Laura Tacho, CTO at DX and long-time friend of the show, to discuss AI usage and success in teams adopting AI and Agents to generate code and perform tasks.
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Check out the video podcast version here: https://www.youtube.com/watch?v=0G_TWLHkj7U
★Show Links★
AI Measurement Framework
DX Core 4 Framework
Applying the Core 4 Framework
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In this episode, I walk though some of my favorite new AI tools and content.
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Resources and Topics mentioned in this episode:
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Bret and Nirmal are joined by Rajdeep Saha from AWS to discuss AI agents and the MCP (Model Context Protocol) standard. In this episode, they explore how AI can manage infrastructure with ease and demonstrate creating Kubernetes clusters with a single prompt.
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We demonstrate AWS's new MCP server for EKS, showing how AI agents can create Kubernetes clusters and deploy applications with simple English prompts. Using Claude Sonnet 4 through the Cline VS Code extension, Raj creates an entire EKS cluster with CloudFormation, deploys a workload, and demonstrates how the AI automatically troubleshoots and fixes deployment issues - all without touching kubectl or writing YAML manually.
We explore the Model Context Protocol (MCP) standard and how it enables AI agents to dynamically discover and use tools, from AWS services to cost calculators. We discuss the security implications of giving AI write access to AWS accounts, the challenges of context window management, and why local LLMs struggle with complex agentic workflows compared to foundational models like Claude.
We cover emerging standards, particularly Google's Agent-to-Agent (A2A) protocol that was recently donated to CNCF. This complements MCP by standardizing how agents communicate with each other, potentially leading to agent marketplaces where specialized agents can collaborate on complex tasks.
We stress the need for proper security guardrails, best practices, and organizational readiness. As Raj puts it, "Gen AI is an awesome white horse, but you still need Gandalf to ride it."
Looking ahead, we predict rapid evolution in agentic frameworks, multi-agent support, and standardized authentication. For DevOps professionals, the bar is rising - tasks that once took a week may soon be expected in two days with AI assistance. It is becoming crucial to understand these tools before they reach mainstream.
Check out the video podcast version here: https://youtu.be/dAkNUoZ_xtw
Creators & Guests
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Bret and Nirmal discuss the intersection of AI agents and DevOps with Solomon Hykes, co-founder of Dagger and Docker. Solomon introduces Container Use, an open-source MCP server that gives coding agents isolated, containerized environments to work in, solving the critical problem of agents interfering with each other when running on the same system.
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We examine the emerging MCP ecosystem and its potential trajectory, drawing parallels to how containers evolved from developer tools to infrastructure platforms. Solomon warns about the rapid "gatekeeping" phase already happening with MCP, where vendors rush to lock down and monetize what started as an open developer innovation space.
Other topics we touch on are: the four core components of agentic workflows, security challenges with untrusted text injection (the new "SQL injection" problem), token cost management, and the importance of balancing proprietary AI services with open-source infrastructure layers.
Check out the video podcast version here: https://youtu.be/ZSbCPIAKGlc
Creators & Guests
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Bret and Nirmal explore AI agents in Kubernetes with Eitan Yarmush, Senior Architect at Solo.io. Eitan explains how AI agents work through three simple components (system prompts, LLMs, and tools), and demonstrates the kagent project, which provides a Kubernetes-native way to deploy and manage AI workflows.
🙌 My next course is coming soon! I've opened the waitlist for those wanting to go deep in GitHub Actions for DevOps and AI automation in 2025. I'm so thrilled to announce this course. The waitlist allows you to quickly sign up for some content updates, discounts, and more as I finish building the course.
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We also address the challenges including security concerns (MCP lacks built-in security standards), cost considerations, and technical limitations like context window constraints.
Check out the video podcast version here: https://youtu.be/JTTqG5SOpWY
Creators & Guests
You can also support my free material by subscribing to my YouTube channel and my weekly newsletter at bret.news!
Grab the best coupons for my Docker and Kubernetes courses.
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Bret and Nirmal are at KubeCon London and record their ideas about how AI Agents are about to change DevOps, platform engineering, SRE, automation, troubleshooting, and more.
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