- Developers
- Learn how AI coding tools can integrate with your IDE and enhance collaborative workflows beyond current version control.
- Business
- Understand how specialized developer tools are adapting to AI, potentially impacting productivity and team collaboration.
This episode features a founder of a rapidly growing developer tool discussing AI's impact on a core area of software development.
Why IDEs Won't Die in the Age of AI Coding: Zed Founder Nathan Sobo
Audio streams from Sequoia Capital. Your place is remembered on this device.
From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Sequoia Capital's Training Data podcast features Zed founder Nathan Sobo discussing the future of Integrated Development Environments (IDEs) in the age of AI coding. Sobo explains how Zed's architecture, built with Rust and GPU acceleration, supports AI collaboration through its Agent Client Protocol. He argues visual IDEs will persist, offering a human-centric layer for code conversation beyond Git.
This episode explores how computer coding tools, called IDEs, will still be important even with AI assistants. The guest explains that visual coding tools provide a way for humans to have ongoing conversations about code, which is easier to read than machine instructions.
This episode is for developers and tech leaders interested in how AI coding tools integrate with existing workflows. Sobo's insights on fine-grained edit tracking and Zed's "Switzerland" approach to AI agents offer a vision for more collaborative and persistent AI-human coding partnerships. It connects to current frontier lab efforts in AI-assisted development, showing how specialized tools can complement broad AI models by focusing on the developer experience and code's human readability.
- HostSequoia Capital
- GuestNathan SoboFounder, Zed
- Guest: Nathan Sobo, Founder of Zed
- Show: Training Data
- Hosts: Sequoia Capital
- Episode Length: 40 minutes
- Zed Active Developers: 170,000
- Zed Technology: Rust, GPU-accelerated rendering
Nathan Sobo has spent nearly two decades pursuing one goal: building an IDE that combines the power of full-featured tools like JetBrains with the responsiveness of lightweight editors like Vim. After hitting the performance ceiling with web-based Atom, he founded Zed and rebuilt from scratch in Rust with GPU-accelerated rendering. Now with 170,000 active developers, Zed is positioned at the intersection of human and AI collaboration. Nathan discusses the Agent Client Protocol that makes Zed "Switzerland" for different AI coding agents, and his vision for fine-grained edit tracking that enables permanent, contextual conversations anchored directly to code—a collaborative layer that asynchronous git-based workflows can't provide. Nathan argues that despite terminal-based AI coding tools visual interfaces for code aren't going anywhere, and that source code is a language designed for humans to read, not just machines to execute.
Hosted by Sonya Huang and Pat Grady, Sequoia Capital
- IDE
- Nathan Sobo
- A software application that provides comprehensive facilities to computer programmers for software development.
- Agent Client Protocol
- Nathan Sobo
- A standard way for different AI coding assistants to communicate with development tools.
- GPU-accelerated rendering
- Nathan Sobo
- Using the computer's graphics processor to speed up how visual elements are displayed on screen.
- Git
- Nathan Sobo
- A widely used system for tracking changes in computer files and coordinating work on those files among multiple people.
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Questions people ask
- What is the Agent Client Protocol?
- The Agent Client Protocol makes Zed a neutral platform, allowing it to work with various AI coding agents.
- Why are visual IDEs still relevant with AI?
- Source code is designed for human readability, and visual interfaces provide a permanent, contextual layer for conversations about code that Git-based workflows cannot match.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Sequoia Capital.




