April 2, 2026 · show notes

ABOUT THIS EPISODE

Agentic Coding and the Economics of Open Source

AI is rapidly transforming how software is built, shifting economic incentives from open source code and collaboration toward on-demand, personalized development through agentic coding a.k.a. vibe coding. In this episode, Chris speaks with Miklós Koren of Central European University about how AI is reshaping open source and the software industry. They explore the economics of incentives, evolving collaboration patterns, and what this shift means for software development, the future of AI, and its broader impact on the technology sector.

Featuring:

Miklós Koren – LinkedIn
Chris Benson – Website, LinkedIn, Bluesky, GitHub, X

Links:

Upcoming Events:

How To

Tech News

Technology

AI & Data Science

English

United States

Use API to fetch this episode in JSON

IN THIS EPISODE

Miklós Koren

Chris Benson

deep learning

artificial intelligence

neural networks

computer vision

Edit these tags

SHOW NOTES 🔗

00:00:00Welcome to Practical AI

00:00:41Introducing the guest

00:02:05The Intersection of AI and Open Source

00:05:38Understanding Vibe Coding

00:08:03The Implications of Vibe Coding on Open Source

00:10:20Economic Principles in Open Source Development

00:13:01Human Attention as a Scarce Resource

00:16:47The Role of Developers in the AI Era

00:19:09Open Source vs Proprietary Software

00:21:11Experimenting with AI in Web Development

00:24:42The Impact of AI on Library Usage

00:28:09Future of Coding: AI and Human Collaboration

00:38:16Navigating the Future of Software Engineering

00:48:18Outro

TRANSCRIPT 🔗

Are you the producer of this podcast? Add a podcast transcript

Need Audio-to-Text? Transcribe with Listen411 in Just 60 Seconds

SEARCH PAST EPISODES

Search past episodes of Practical AI.

Embed this search bar to your website

OTHER EPISODES IN THIS PODCAST

Models, Harnesses, and Multi-Agent Systems

Aug. 6, 2026

AI has moved far beyond chatbots, but what exactly are AI models, agents, agent harnesses, and multi-agent systems, and why do they matter? In this episode, Daniel and Chris break down the terminology behind today's AI landscape, explain the differences between AI features and autonomous agents, an…

00:49:58

SAVE

CLIP

AI Proficiency: From Users to Builders

Aug. 25, 2026

As AI continues to reshape how organizations work, companies are increasingly asking what AI proficiency should look like across their workforce, and how they can help employees adapt without simply mandating AI adoption. Our returning guest Mike Lewis, Chief AI Architect at TiER1 Performance, join…

00:56:13

SAVE

CLIP

Reconstructing how OpenAI agents attacked Hugging Face

July 30, 2026

What happens when AI agents driven by a top frontier model escape their secure sandbox? Join Daniel and Chris as they unpack the AI wonk's equivalent of a murder mystery! OpenAI agents went rogue and successfully attacked Hugging Face private infrastructure. Our Dynamic Duo uncover how OpenAI's age…

00:44:25

SAVE

CLIP

The Future of AI Infrastructure with CoreWeave

July 17, 2026

As AI applications become more complex, the infrastructure powering them needs to evolve. Corey Sanders, SVP of Product at CoreWeave, joins Chris to discuss why AI requires a fundamentally different approach than traditional cloud computing. They explore AI-native infrastructure, training and infer…

00:50:04

SAVE

CLIP

Surviving the New Economics of a Post-Agentic World

July 23, 2026

The agentic transformation isn’t coming. It has already begun. Companies are deploying thousands — and sometimes tens of thousands — of AI agents. Enterprise software giants are watching their old economic moats erode. Capital is moving, productivity is being redefined, and human labor is being rep…

00:35:36

SAVE

CLIP

Disclaimer: The podcast and artwork embedded on this page are from Daniel Whitenack and Chris Benson, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.