Uploaded July 2026 | Updated September 2026, 3 weeks ago

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Barr Yaron shares her perspective on the results and emerging state of AI engineering in 2026.

Speaker:
Barr Yaron — Partner, Amplify Partners
Barr backs founders building the AI infrastructure and applications that will shape the future.

Links:
X: https://x.com/barrnanas
LinkedIn: linkedin.com/in/barryaron
Website: barrchives.com

Timestamps

0:00 Introduction and Survey Context
2:26 The AI Engineering Workforce
3:21 Current Modalities and Adoption
5:34 Model Strategy: Closed vs. Open-Weight
8:20 Cost as an Engineering Constraint
9:36 The Rise of Agentic Workflows
11:57 Infrastructure Challenges and Evals
12:53 The Build vs. Buy Trade-off
14:09 Impact on Engineering Culture and Teams
16:27 Future Bets and Predictions

Quotes:

"The median new engineer has nearly as much AI experience as the median 10-year software veteran." (3:07)

"Cost is now a first-class engineering constraint." (8:38)

"Agents are no longer reading, summarizing, drafting—they’re taking actions inside of systems." (10:58)

"The biggest challenge in your stack? Every single year, the number one answer is eval." (12:12)

"Shipping software is not gated on being an engineer anymore." (16:17)