Agents and Engineers | Agentic AI, Software & Agentic Engineering
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
The Handoff Packet for Local Agentic AI
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
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
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
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
The AI Skill Flip
Sheamus McGovern founded ODSC roughly twelve years ago and now splits his time between the conference business and a role as venture partner and Head of AI at Cortical Ventures. His book, The AI Skill Flip, came out of a pattern he kept hitting: data scientists and software engineers coming to him asking whether AI was going to take their jobs and what they should do about it. He wanted t
The New Sport of Programming
Matthew Rocklin is an open-source software developer best known for creating Dask, a Python library for scalable parallel and distributed computing. He has contributed to projects including Toolz, SymPy, and Theano, worked at Anaconda and NVIDIA on the RAPIDS ecosystem, and founded Coiled, a company focused on running Dask in the cloud. He has a PhD in computer science from the University
Skills, Context, and Trust: The New Agentic Coding Stack
Dan and Jonathan Bown open with the talk Jonathan gave at ODSC, "Practical Agent Ops: From POC to Prod with MLflow 3.0." MLflow 3.0 arrived last summer as the first stable release built for generative AI rather than traditional machine learning, and Jonathan's team used it to build an agent for pre-enrollment students. The centerpiece of that work was evaluation-driven development. Instea
When Software Gets Cheap, Focus Gets Expensive
Dan and Greg open with how agentic development has changed since the early days of Copilot. At the time, Greg was at GitHub, and he saw AI mostly help with boilerplate and editor completions. Cursor-style agents were the next widely-used advancement bringing session history and integrated team-wide practices. By June 2026, capable models and harnesses are common inside engineering teams,
From Supervising AI to Building Systems for It
Dan and Eleanor open by discussing how fast software engineering has changed. In the last six months, Eleanor's practice flipped from treating AI as a messy assistant that needs close supervision to building systems that put the agents on the path to success. She now writes essentially no code herself, arguing that the models have become good enough that her involvement mostly makes the r
Are We All Managers Now?
Dan, Angie Jones, and Demetrios Brinkman open with a discussion of the Agentic AI Foundation ("AAIF"), founded by Anthropic, OpenAI, and Block in December 2025 and now home to roughly 180 member companies. AAIF recently launched an ambassador program (apply [here](https://aaif.io/ambassadors/)) and has upcoming events across the globe from [AGNTCon](https://events.linuxfoundation.org/agnt
Claude-maxxing: Burning $10K in tokens for only $50 with a custom software factory
Dan and Ian Stokes-Rees, founder and CEO of PNI AI Studio, open by discussing the thesis of Ian's company: an opinionated stack of open-source tools wrapped in agentic AI so business analysts, managers, and finance teams can get the capabilities of a senior data scientist without learning Python, SQL, or R. Ian's primary target is financial services, where an estimated 200+ million weekly
Vibe Coding in the Physical World: Robotics, Circuits, and Dangerous Permissions
Dan and Greg discuss Revise Robotics, where Greg serves as founding engineer building robotic systems that refurbish discarded corporate laptops for donation. The episode opens with a description of how AI vision models allow robots to navigate unfamiliar BIOS screens and unpredictable laptop states dynamically — a capability that wasn't feasible a few years ago. Greg reflects on how LLM-
Welcome to Agents and Engineers
Welcome to Agents and Engineers: The podcast about Agentic AI and Software Engineering. I'm your host, Dan Gerlanc.Each episode is a conversation with people whose daily lives most intersect with AI and agentic systems. These are the people building the agents we interact with every day, like Claude and Codex. They are the engineers building software in a radically new way, by written spe
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