Introduction
How can we humans use non-deterministic, often hallucinating LLMs to automate our infrastructure and help us with the job of software lifecycle management? Oh, and do it in a secure, tested, and auditable way 😉.
Where LLMs, AI Agents, and MCP tools meet DevOps.
Listen to the Trailer
Latest Episodes
Safer Agent Automation with GitHub Agentic Workflows
A deep dive into GitHub’s Agentic Workflows feature, with Don Syme of GitHub Next & Peli de Halleux of Microsoft Research. Check out the video podcast version here: ht...
AI SREs, Chat With Your Infrastructure with Anyshift
Bret’s joined by the Anyshift.io co-founders, Roxane Fischer and Stephane Jourdan to discuss how an always-on SRE agent can help you proactively find risks and avoid i...
Can AI Agents Safely Become DevOps Engineers?
Sam Alba, co-founder of Mendral, joins the show to discuss their new AI agents that act as “junior devops engineers” against GitHub Actions, security, failed tests, an...
Our Favorite Agent Setups
My friend Brian Christner (Docker Captain alum) and I go through our AI harnesses, agents, models, and what we’re playing with right now. OpenClaw, OpenCode, Claude Co...
Four Months Felt Like Four Years
It’s been 6 months since the last episode, and it feels like everything has changed. Bret and Nirmal catch you up on the increasing pace of AI change, how it will like...