Markdown source

The 2026 State of AI Engineering

Conference Context

Session Description

results per Barr

Media Evidence

The 2025 AI Engineering Report — Barr Yaron, Amplify (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

Evidence Graph

This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

Media Signals

Agent Reading Notes

Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

Transcript Status

Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Not fetched yet.

People

Supporting Slides

Slide Evidence

Synthesis

Synthesized Breakdown

The 2026 State of AI Engineering ## Conference Context - Date/time: 2026-07-01 · 9:00am-9:20am - Track/room: Harness Engineering · Main Stage - Speaker(s): Barr Yaron - Session type/status: keynote · confirmed - Track: Harness Engineering - Room: Main Stage - Session type: keynote - Status: confirmed ## Session Description results per Barr ## Media Evidence The 2025 AI Engineering Report — Barr Yaron, Amplify (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions). - Source video: youtube-mQ7_Zje7WKE - Slide deck: Dense Slides: The 2025 AI Engineering Report — Barr Yaron, Amplify — 3 visible slide image(s); 3 HTML recreation(s). slide-002.jpg slide-003.jpg slide-004.jpg - Additional slide evidence: Slides: The 2025 AI Engineering Report — Barr Yaron, Amplify, Reconstructed Slides: The 2025 AI Engineering Report — Barr Yaron, Amplify - Slide-derived themes for youtube-mQ7_Zje7WKE: respondents, best, describes, title, survey, demographics, option, identified. ## Evidence Graph This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

Speaker And Company Context

Topics Covered

Derived Links And Source Material

Novel Concepts / Clever Methods

Evidence Boundary

This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.