Home Podcasts Agents and Engineers | Agentic AI, Software & Agentic Engineering
Agents and Engineers | Agentic AI, Software & Agentic Engineering

Agents and Engineers | Agentic AI, Software & Agentic Engineering

Dan Gerlanc 13 Episodes Oct 13, 2026

A podcast exploring agentic AI, agentic software engineering, and entrepreneurship. Each episode features conversations with people actively building with agentic AI, uncovering stories, behind-the-scenes insights, and the people behind the code. Host Dan Gerlanc brings 20 years of experience in machine learning and software, along with his perspective as a four-time founder, to discuss the real-world impact of AI on technology and business.

Episodes

Why AI Can Generate a Song but Struggles with Music Theory
Why AI Can Generate a Song but Struggles with Music Theory Oct 13, 2026 4144 Ben Morss is a Developer Advocate at Mistral. He previously spent 9.5 years at Google as a Product Manager for advanced APIs in Chrome and a Developer Advocate for the web. He earned a bachelor's degree in Computer Science and Music from Harvard University and a doctorate in Music Composition from the University of California at Davis. He continues to make music and write about music theo
Agents, Engineers, and Citizen Developers
Agents, Engineers, and Citizen Developers Oct 6, 2026 4622 Cory O'Daniel is CEO and co-founder of Massdriver, an internal developer platform and platform orchestrator for governed self-service infrastructure using Terraform, OpenTofu, and Helm. He has spent more than 20 years building teams and startups and working with cloud infrastructure. He created Bonny, an Elixir-based Kubernetes operator framework, and is a co-founder of OpenTofu.Dan and C
Building a Software Factory with Gas City
Building a Software Factory with Gas City Sep 29, 2026 4769 Stephanie Jarmak is an AI Engineer at Omni working on multi-agent orchestration and code intelligence. She is a research affiliate for NASA's Science Explorer (SciX) and a maintainer of Gas City, an open-source orchestration builder for multi-agent coding workflows. Dan and Stephanie discuss how she became a Gas City maintainer by learning from review agents, encoding contribution standar
Agentic Data Science in a Reproducible Marimo Notebook
Agentic Data Science in a Reproducible Marimo Notebook Sep 22, 2026 3498 Eric Ma is a Senior Principal Data Scientist at Moderna, where he leads the Data Science and Artificial Intelligence (Research) team. Previously, he conducted biomedical data science research at the Novartis Institutes for Biomedical Research and earned his doctorate in Biological Engineering from MIT. Eric is also an open-source software developer known for leading pyjanitor and nxviz an
Beads, Better Specs, and Less Rework
Beads, Better Specs, and Less Rework Sep 15, 2026 4069 Andrew Zigler is a GTM Engineer at LinearB and the host of Dev Interrupted, a twice-weekly podcast and newsletter about AI-native development and agentic orchestration. A classicist by training, he previously taught in Japan, built e-learning platforms, and worked in developer relations at Mattermost. Dan and Andrew discuss how shared workflows and memory can help turn individual AI gains
Programming Languages for AI Agents
Programming Languages for AI Agents Sep 8, 2026 4722 Julien Verlaguet is Founder and CEO of SkipLabs, the company building Skipper, a closed-loop coding agent. He created Skip, a reactive programming language, and led the design of Hack, the language Meta developed to run its code base at scale. In this episode, we discuss what the job of programming language designers becomes when AI agents write most of the code. This includes the design
AI Agents for Bayesian Data Science
AI Agents for Bayesian Data Science Sep 1, 2026 4441 Thomas Wiecki, Founder, PyMC Labs, is the author of PyMC, one of the most popular frameworks for Bayesian modeling, and the founder of PyMC Labs, a Bayesian AI consultancy. He holds a PhD in Computational Cognitive Neuroscience from Brown University and previously served as VP of Data Science and Head of Research at Quantopian Inc., where he built and led a team of data scientists to deve
Search is Eating AI
Search is Eating AI Aug 25, 2026 2478 Dan is joined by Hugo Bowne-Anderson and Doug Turnbull. Hugo is an independent data and AI scientist who has advised and taught teams at Netflix, Meta, and Amazon. Doug is an independent consultant and search expert with experience at Shopify, Reddit, and Wikipedia, and the author of "Relevant Search" and "AI Powered Search." In this episode, they discuss what agentic search actually mean
The Handoff Packet for Local Agentic AI
The Handoff Packet for Local Agentic AI Aug 18, 2026 3938 Paul Everitt is a Python and Web Developer Advocate at JetBrains. He previously co-founded Zope Corporation, helped bootstrap the Python Software Foundation and Plone Foundation, and served as a US Navy officer who started www.navy.mil in 1993.Paul and Dan discuss how local agentic AI could reshape software engineering, from smaller models supported by static analysis and better tool call
How AI Agents Change the Work of an ML Engineer
How AI Agents Change the Work of an ML Engineer Aug 11, 2026 3674 Dan and Niels Bantilan discuss how AI agents are changing Niels's work on two open-source projects, Flyte and Pandera. Flyte began as an MLOps orchestrator and is evolving into an AI runtime for the code, compute, and execution systems around models and agents. Pandera remains a smaller, community-focused data-validation project. Niels finds agents most useful in mature codebases with str
Reducing Entropy in Agentic Software
Reducing Entropy in Agentic Software Aug 4, 2026 4005 Dan and Jacob Young discuss what technical due diligence looks like when software teams use coding agents. Best practices have not settled, so Jacob looks less for a particular model or tool than for convergence: whether a team and its agents keep moving toward the same grounded idea of what the software should be. Shared standards, existing abstractions, language servers, linters, hooks,
Unharness Your Agents
Unharness Your Agents Jul 28, 2026 3941 Dan and John Berryman discuss why today’s terminal- and IDE-centered agent harnesses are too narrow. John argues that agents should be able to see and act across the applications, websites, files, and physical environments that make up a person’s life. His Rook project is an attempt to make those contexts addressable while allowing people to keep using the agent harnesses they already tru

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