Karpathy: from vibe coding to agentic engineering
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| Item | Details |
|---|---|
| Speaker | Andrej Karpathy × Stephanie Zhan |
| Channel | Sequoia Capital |
| Date | Apr 29, 2026 |
| Duration | 29:49 |
| Format | Video |
| Topics | #llm · #engineering · #open-source · #agents |
Why it matters
Karpathy coined 'vibe coding'. In this 2026 Sequoia conversation he pushes the idea further: from casually letting AI write code to disciplined 'agentic engineering' — how to bound an agent, how to split work between human and machine, and when to trust vs. keep a human hand on the brake.
Key takeaways
- Vibe coding suits exploration and prototypes: fast natural-language iteration at the cost of quality and control.
- Production requires 'agentic engineering': clear task boundaries, verifiable intermediate artifacts, instant rollback.
- The human-machine split: AI generates and retrieves; humans judge, set taste, and make the final call.
- Agent permissions should open gradually: read-only → suggest → execute — trust is earned on evidence.
- The engineer's future edge: specifying precisely what you want, and recognizing whether it's right.
Original video
- Speaker
- Andrej Karpathy × Stephanie Zhan
- Channel
- Sequoia Capital
- Venue
- A Sequoia Capital conversation hosted by Stephanie Zhan
- Date · Duration
- Apr 29, 2026 · 29:49
Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan
Watch the original on YouTubeSources & Further Reading
This page is grounded in the authoritative sources below — verifiable and citable by AI engines and readers.
- 👤 Person: Andrej Karpathy × Stephanie Zhan
- # Topic: LLMsLLM capabilities, products and best practices
- # Topic: EngineeringAPIs, prompting and system design
- # Topic: Open SourceOpen models, frameworks and ecosystems
- # Topic: AgentsBuilding, orchestrating and shipping AI agents
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