Markdown source

How to Kill the Code Review

Conference Context

Session Description

Human-written code died in 2025. Code review is dying in 2026. Teams with high AI adoption are merging 98% more pull requests, but PR review time has surged 91%. There is no way we win this fight with manual code reviews, and AI code review tools are just buying us time. This talk makes the case that the traditional code review is a historical approval gate that no longer fits the shape of modern software development. I'll walk through a practical five-layer trust model: from multi-agent competition and deterministic guardrails to spec-driven BDD and adversarial verification — that lets engineering teams ship faster without sacrificing quality or control.

Media Evidence

No related AI Engineer channel video found yet.

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

No linked video, transcript, or slide source has been attached yet.

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

No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

People

Notes

Synthesis

Synthesized Breakdown

How to Kill the Code Review ## Conference Context - Date/time: 2026-06-30 · 11:40am-12:00pm - Track/room: AI Architects: Tokenmaxxing · Leadership 2 - Speaker(s): Ankit Jain - Session type/status: session · confirmed - Track: AI Architects: Tokenmaxxing - Room: Leadership 2 - Session type: session - Status: confirmed ## Session Description Human-written code died in 2025. Code review is dying in 2026. Teams with high AI adoption are merging 98% more pull requests, but PR review time has surged 91%. There is no way we win this fight with manual code reviews, and AI code review tools are just buying us time.

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.