Subvolts take Karpathy explains agentic engineering and how to direct LLMs like summoned ghosts. Apr 30, 2026
For you
Developers
Learn about agentic engineering and how to direct LLMs effectively, moving beyond "vibe coding."
Business
Understand the emerging discipline of agentic engineering and its implications for building more capable AI applications.
Hype note
3/5Notable

Features a prominent AI researcher discussing the practical evolution of AI development and future directions.

Training Data Episode

Andrej Karpathy: From Vibe Coding to Agentic Engineering

30 min Interview Hosts: Sequoia Capital
0:0029:48

Audio streams from Sequoia Capital. Your place is remembered on this device.

From Subvolts

Summary and analysis by Subvolts editorial, AI-assisted.

Summary

Andrej Karpathy discusses advancements in AI since he coined "vibe coding." He explains agentic engineering as a more serious discipline built on this foundation. Karpathy likens LLMs to summoned ghosts, requiring new judgment to direct, and touches on Software 3.0, verifiability limits, and the difference between outsourcing thinking and understanding.

Explained simply

Karpathy talks about how AI coding has evolved from "vibe coding" to a more structured approach called agentic engineering. He compares AI models to ghosts that need careful guidance, which is important for anyone curious about how AI is being built and controlled.

Why listen

This episode offers insights into the evolution of AI development from Karpathy's perspective. It's for AI researchers, developers, and tech leaders interested in the practical application and future direction of large language models. The discussion on agentic engineering and LLM direction connects directly to current efforts by OpenAI, Google Gemini, and Anthropic to build more capable and controllable AI systems.

On the mic
  • HostSequoia Capital
  • GuestAndrej KarpathyFounder, Eureka Labs
About
Key facts
  • Guest: Andrej Karpathy
  • Title: Andrej Karpathy: From Vibe Coding to Agentic Engineering
  • Show: Training Data
  • Length: 30 minutes
  • Karpathy's roles: Co-founder of OpenAI, former head of AI at Tesla, founder of Eureka Labs
Show notes from Sequoia Capital

Andrej Karpathy (co-founder of OpenAI, former head of AI at Tesla, and now founder of Eureka Labs) talks with Sequoia partner Stephanie Zhan at AI Ascent 2026 about what's changed in the year since he coined "vibe coding." He explains why he's never felt more behind as a programmer, why agentic engineering is the more serious discipline taking shape on top of vibe coding, and why we should think of LLMs not as animals but as ghosts: jagged, statistical, summoned entities that require a new kind of taste and judgment to direct. He also touches on Software 3.0, the limits of verifiability, and why you can outsource your thinking but never your understanding.


Jargon decoded
vibe coding
Andrej Karpathy
An earlier, less structured approach to AI development.
agentic engineering
Andrej Karpathy
A more structured discipline for directing AI systems.
LLMs
Andrej Karpathy
Large Language Models, AI systems that process and generate text.
Published
Show
Training Data · Sequoia Capital
Length
30 min
Companies
OpenAI
Summary by
Subvolts, using an AI model (how we work). Spotted a mistake? Tell us.

Same guests, other shows

Questions people ask

What is "vibe coding"?
Vibe coding refers to an earlier approach in AI development that Karpathy coined, suggesting a less structured method.
What is agentic engineering?
Agentic engineering is presented as a more serious discipline that builds upon "vibe coding" to direct AI systems.

Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Sequoia Capital.