Description
Agentic DevOps: AI Engineering for Infrastructure is a podcast that delves into the integration of AI Agents, Large Language Models (LLMs), and MCP tools with DevOps and platform engineering. Hosted by Bret Fisher, the podcast aims to provide a realistic perspective on how these technologies can be used to automate infrastructure and assist with software lifecycle management. The podcast was launched in early 2025, following the invention of AI Agents and the MCP standard in late 2024. It focuses on documenting and advising on the practical applications of AI Agents and LLMs in real-world scenarios, particularly in DevOps automation and platform engineering.
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Bret Fisher is joined by co-host Nirmal Mehta and various expert guests who share their experiences and insights on leveraging AI technologies. The podcast covers a range of topics, including AI agent sandboxing, AI-native engineering culture, and safer agent automation with GitHub Agentic Workflows. It also explores the potential of AI Agents to function as junior DevOps engineers, providing proactive risk management and system operations support.
Agentic DevOps aims to cut through the hype surrounding AI, offering a grounded approach to understanding how these technologies can be effectively integrated into existing workflows. The podcast is a valuable resource for DevOps professionals, platform engineers, and anyone interested in the evolving role of AI in infrastructure management.
- CategoryOther AI Tools
- Pricing ModelFree
- PlatformsPodcast
What You'll Get
Explores AI Agents and LLMs in DevOps
Focus on real-world applications
Hosted by Bret Fisher
Co-hosted by Nirmal Mehta
Features expert guest interviews
Covers AI agent sandboxing
Discusses AI-native engineering culture
Examines GitHub Agentic Workflows
How to Follow Agentic DevOps: AI Engineering for Infrastructure
Listen: Tune into episodes on AI and DevOps
Learn: Gain insights from expert guests
Apply: Implement discussed strategies in your workflow
Optimize: Use AI tools for infrastructure management
Who Agentic DevOps: AI Engineering for Infrastructure Is Best For
- DevOps Automation
- Platform Engineering
- Software Lifecycle Management
- Risk Management
- AI Agent Integration
