---
schema: 1
type: video
title: >-
  "The biggest challenge in your stack? Evals, Evals, Evals" - 2026 State of AI
  Engineering results
description: >-
  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:
  https://linkedin.com/in/barryaron Website: https://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)
  --- Watch along with the corrected transcript, summary, timestamps and
  resources on this talk's official AIE page:
  https://ai.engineer/talks/RGe6EjucbzI-the-2026-state-of-ai-engineering-barr-yaron-amplify-partners
  Join our upcoming AI Engineer conferences (see https://ai.engineer landing
  page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs
  and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference
  returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS
  2026 in Sydney ---
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# "The biggest challenge in your stack? Evals, Evals, Evals" - 2026 State of AI Engineering results

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: https://linkedin.com/in/barryaron Website: https://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) --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/RGe6EjucbzI-the-2026-state-of-ai-engineering-barr-yaron-amplify-partners Join our upcoming AI Engineer conferences (see https://ai.engineer landing page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS 2026 in Sydney ---

Canonical: https://liquidgold.cc/watch/RGe6EjucbzI · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md)

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