Subvolts take AI is shifting software economics from open source to personalized agentic coding. Apr 2, 2026
For you
Developers
Learn how AI is altering the economics of software creation and the future of open source collaboration.
Business
Understand the economic shifts in software development driven by AI, impacting how products are built and maintained.
Hype note
3/5Notable

This episode offers a solid interview with a researcher discussing significant economic shifts in software development driven by AI.

Agentic Coding and the Economics of Open Source

49 min Interview Hosts: Daniel Whitenack, Chris Benson
0:0048:59

Audio streams from Daniel Whitenack and Chris Benson. Your place is remembered on this device.

From Subvolts

Summary and analysis by Subvolts editorial, AI-assisted.

Summary

This Practical AI episode features Chris Benson interviewing Miklós Koren about how AI is changing software development. They discuss the shift from open source collaboration to personalized, agentic coding and its economic implications. The conversation explores evolving collaboration patterns and the broader impact on the technology sector.

Explained simply

Imagine AI tools that write code for you, like a personal assistant. This episode discusses how this new way of coding might change the economics of software, moving away from shared, open-source projects towards custom AI-generated code.

Why listen

This episode is for developers and technologists interested in the economic shifts within software development driven by AI. Koren's insights into agentic coding and its impact on open source economics connect directly to how frontier labs like OpenAI, Google Gemini, and Meta AI are developing and deploying AI tools. Understanding these economic incentives is crucial as these labs push towards more autonomous AI systems that could fundamentally alter how software is created and maintained.

On the mic
  • HostDaniel Whitenack
  • HostChris Benson
  • GuestMiklós KorenCentral European University
About
Key facts
  • Show: Practical AI
  • Hosts: Daniel Whitenack, Chris Benson
  • Guest: Miklós Koren
  • Length: 49 minutes
  • Topic: AI is transforming software development, shifting incentives from open source to agentic coding.
Key moments and transcript

Chapters from the publisher ↗ · Transcript ↗ Key moments and transcript search come with a later piece.

Show notes from Daniel Whitenack and Chris Benson

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.

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Jargon decoded
Agentic coding
Miklós Koren
AI tools that write code for you, acting as personal assistants.
Open source
Miklós Koren
Software code that is freely available for anyone to use, modify, and share.
Published
Show
Practical AI · Daniel Whitenack and Chris Benson
Length
49 min
Companies
OpenAI, Google, Meta, Microsoft, xAI, Anthropic
Summary by
Subvolts, using an AI model (how we work). Spotted a mistake? Tell us.

Questions people ask

How is AI changing software development?
AI is shifting economic incentives from open source code and collaboration toward on-demand, personalized development through agentic coding.
What is agentic coding?
Agentic coding, also known as vibe coding, refers to AI-driven personalized development.

Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Daniel Whitenack and Chris Benson.