The Death of the Code Review
Official Schedule Context
- Date/time: 2026-06-30 · 12:05pm-12:25pm
- Track/room: AI Architects: Tokenmaxxing · Leadership 2
- Speaker(s): Laurie Voss
- Session type/status: session · confirmed
Summary
Laurie Voss frames code review as a process built around human-authored diffs and argues that AI-native software teams need a different control point: automated verification that can decide whether generated code is safe to ship. The connected supporting material, especially Voss's AI Engineer talk on hands-on evals for agentic applications, points toward evaluation harnesses as the replacement layer: systems that capture reviewer judgment, test agent behavior, and turn recurring review patterns into repeatable checks. In the World's Fair context, this session sits squarely in the Software Factories theme: moving from artisanal review toward production pipelines where coding agents, prompts, tests, evals, and observability form the release gate.
Official Description
Code review was built for a world where humans wrote all the code. Now, the question isn’t “does
this diff look good?” — it’s “can this system safely ship code on its own?” This talk will show why
and how traditional code review will quietly be replaced by automated verification harnesses. We’ll
show how prompt learning can be used to clone your best internal code reviewers, turning their
judgment into automated evaluation loops. We’ll also open source a code review training harness that
captures review patterns and turns them into reusable checks for AI-generated code.
Related YouTube Video
Ship Real Agents: Hands-On Evals for Agentic Applications — Laurie Voss, Arize (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).
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. Cached at raw/sources/youtube-transcripts/Xfl50508LZM.txt (22,591 words).
People
Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.
Supporting Slides
- youtube Xfl50508LZM slides — extracted from the related public AI Engineer video.
Slide Evidence
- Slide-only cropped deck: youtube Xfl50508LZM dense slides (7 viable slide images).
- Related slide/OCR pages:
- youtube Xfl50508LZM dense slides
- youtube Xfl50508LZM reconstructed slides
- youtube Xfl50508LZM slides
- Slide-derived terms:
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