Agentic DevOps
Agentic DevOps
Podcast Description
Where LLMs, AI Agents, and MCP tools meet DevOps. How can we humans use non-deterministic, often hallucinating LLMs to automate our infrastructure and help us with the job of software lifecycle management? I’m Bret Fisher, and this is the Agentic DevOps podcast. After the invention of AI Agents and the MCP standard in late 2024, I started this podcast in early '25 with a narrow topic focus… to document and advise how AI Agents, MCP tools, and large language models can be used in the real world for assisting with DevOps automation, platform engineering, and day to day systems operations… a podcast series hopefully without the hand-wavy AI hype or dreams of a pure AI workforce. I'm joined by my co-host, Nirmal Metha, and expert guests trying to make use of crazy texting robots.
Podcast Insights
Content Themes
The podcast focuses on topics related to DevOps automation, platform engineering, and systems operations, with specific episodes exploring how AI agents can assist in deployment processes, the role of MCP tools in infrastructure management, and practical applications of LLMs in software lifecycle management. It aims to provide actionable advice while avoiding unrealistic expectations about AI capabilities.
Where LLMs, AI Agents, and MCP tools meet DevOps. How can we humans use non-deterministic, often hallucinating LLMs to automate our infrastructure and help us with the job of software lifecycle management? I’m Bret Fisher, and this is the Agentic DevOps podcast. After the invention of AI Agents and the MCP standard in late 2024, I started this podcast in early ’25 with a narrow topic focus… to document and advise how AI Agents, MCP tools, and large language models can be used in the real world for assisting with DevOps automation, platform engineering, and day to day systems operations… a podcast series hopefully without the hand-wavy AI hype or dreams of a pure AI workforce. I’m joined by my co-host, Nirmal Metha, and expert guests trying to make use of crazy texting robots.
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.
🙌 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.
https://courses.bretfisher.com/waitlist 🍾
We finally have some real data on this topic, and Laura Tacho in her role at DX, the developer experience company, has been studying AI successes and failures in the industry and has released a framework to measure AI impact in an orgs software lifecycle.
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
Creators & Guests
- Bret Fisher – Host
- Beth Fisher – Producer
- Cristi Cotovan – Editor
- Nirmal Mehta – Host
- Laura Tacho – Guest
- (00:00) – Teaser
- (03:05) – Welcome
- (04:58) – AI Measurement Framework
- (07:40) – Distilling Fact from Fiction with AI
- (25:19) – Skepticism and Adoption of AI Tools
- (27:57) – Measuring AI Impact on Developer Work
- (49:07) – Assisted vs Agentic
- (55:59) – More Gains from Training Humans on AI
- (01:04:36) – Measuring AI’s Impact
- (01:10:15) – Context Switching
- (01:13:40) – Navigating AI Hype and Reality
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Homepage bretfisher.com
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