AI DevOps Podcast
Jeffrey Palermo
The AI DevOps Podcast is a show for those shipping software using AI, .NET, Azure, and DevOps. Each show brings you hard-hitting interviews with industry experts, innovating better methods, and sharing success stories. Sponsoring the podcast is Clear Measure, a software architecture and engineering firm that implements AI to empower software teams to establish quality, achieve stability, and increase speed. Hosted by CTO & Chairman, Jeffrey Palermo.
Episodes
Mentioned books
19 snips
Apr 20, 2026 • 39min
Pierce Boggan: AI Workflows - Episode 398
Pierce Boggan, Product leader for Visual Studio Code and GitHub Copilot at Microsoft, steers VS Code toward an AI-native future and created the Primer tool to prep repos. He talks about recent Copilot and VS Code innovations, how local and cloud agents reshape workflows, Primer/AgentRC for AI readiness, faster release cadences, and the evolving IDE with sandboxing, verification, and multi-agent UX.
22 snips
Apr 13, 2026 • 38min
Michael Perry: AI-assisted Development - Episode 397
Michael Perry, Director at Improving Enterprises and software mathematician who builds immutable architecture and created the Jinaga runtime. He discusses first-principles thinking for AI, which tasks AI can and cannot automate, multi-agent workflows and RooCode subagents, test-driven AI development, and turning team practices into sharable software factory assets.
25 snips
Apr 6, 2026 • 51min
Aaron Stannard: Software 2.0 using AI - Episode 396
Aaron Stannard, founder of Petabridge and co-creator of Akka.NET, is a distributed-systems and .NET expert. He discusses Software 2.0 and how engineers move from coding to specifying and verifying with LLMs. He covers verification strategies, tooling for validating LLM outputs, detecting reward-hacking, practical local and remote LLM workflows, and using actors to orchestrate persistent agents.
23 snips
Mar 30, 2026 • 38min
Mads Torgersen: Talking AI - Episode 395
Mads Torgersen, Principal Architect at Microsoft and long-time C# lead designer (formerly a professor and contributor to a language starting with J). He talks about how AI is changing programming languages and tooling. He covers trust and verification of AI-generated code. He explains C# 15’s headline feature: union types, and how migration and feedback will shape the preview.
44 snips
Mar 23, 2026 • 41min
James World - AI - Episode 394
James World, a Microsoft‑certified Azure architect and seasoned .NET polyglot, talks about practical generative AI adoption and cloud‑native platform work. He covers which AI capabilities are ready today. He explains spec‑driven coding, combining probabilistic models with deterministic tooling, repo and tooling prep, and strategies for testing, context management, and AI‑first project setups.
18 snips
Mar 16, 2026 • 45min
Daniel Ward: AI Agents - Episode 393
Daniel Ward, a Microsoft .NET MVP and consultant focused on CI/CD, testing, AI adoption, and product management. He explains AI agents as LLM-driven actors that take actions, shows practical patterns for verify-and-iterate workflows, contrasts Copilot SDK orchestration with inline prompts, and explores agent use cases like PR analyzers, log-driven fixes, and personal research agents.
13 snips
Mar 9, 2026 • 1h 3min
Richard Lander: DotNet Inspect - Episode 392
Richard Lander, Principal Program Manager on the .NET team at Microsoft with decades shaping runtime and tooling. He traces .NET’s evolution to native AOT and explores inspect-style tooling inspired by Docker/kubectl. He unveils .NET Inspect, its markdown-first outputs, API diffing, LLM-friendly formats, SourceLink-driven source retrieval, and how CLI-first, pipeable tools enable AI-enabled developer workflows.
9 snips
Mar 2, 2026 • 34min
Savino Carlone: ERP Systems - Episode 391
Savino Carlone, a 25-year backend developer and educator from Turin who leads the web-based ERP Fattuto and co-leads Torino .NET, discusses ERP fundamentals and modeling company processes. He talks about architecting one product for many companies. He covers testing strategies, UX shifts toward mobile, and using retrieval-augmented generation to let AI surface and act on ERP data.
24 snips
Feb 23, 2026 • 42min
Paul Duvall: AI-Driven Development - Episode 390
Paul Duvall, award-winning author and longtime DevOps leader who helped pioneer continuous integration. He talks about how AI reshapes engineering practices and the need for solid CI habits. He outlines spec-driven workflows, evolving code review with AI, and tools for generating implementations from specs. He also covers observability, cost expectations for AI tooling, and how teams and careers adapt.
6 snips
Feb 16, 2026 • 40min
Damian Brady: GitHub AI - Episode 389
Damian Brady, Staff Developer Advocate at GitHub with decades in software, AI, DevOps and community leadership. He discusses expanding Copilot beyond autocompletion to reviews, fixes, and lifecycle help. He talks TDD with AI, assigning work to Copilot, Copilot SDK/CLI and SpecKit for structured AI-driven specs. He also covers documentation living with code and integrating lifecycle tools.
