Speaker
Abstract
Code review was built for a world where humans wrote all the code. The question shifts from "does this diff look good?" to "can this system safely ship code on its own?" Shows how traditional code review gets quietly replaced by automated verification harnesses, how prompt learning clones your best internal reviewers into automated evaluation loops, and open-sources a code review training harness that turns review patterns into reusable checks for AI-generated code.
Interview
Everybody has started using LLM assistance to generate code, and that has eliminated the speed of coding as a bottleneck, but revealed a new one: the speed of reviewing the code we produce, to make sure it's correct and safe. My talk is about the current state of the art in accelerated code review.
Data shows that coders using LLM assistance wrote more than 700% more code but released only 30% more actual software; that gap is all about the bottleneck of review.
The whole space is brand new. Nobody's really sure what works and what doesn't. Can we automate review? Can we eliminate review? Can we avoid review with better specs? People are trying all sorts of strategies.
That while this is an unsolved problem, there are better strategies out there than just "review faster", which demonstrably doesn't work.
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From the same track
Wednesday 18 November
10:35 Seacliff ABC Session The Death of the Code Review Laurie Voss Head of Developer Relations @Arize AI, Co-Founder of npm, Inc., Developer for 30+ Years Code review was built for a world where humans wrote all the code. 11:45 Seacliff ABC Session Legacy as Leverage: How Brownfield Work Builds Technical Judgment Shine Garg Founder of Uncharted Path Breakthrough, Former Staff Software Engineer, 15+ Years Building and Scaling Backend, Data, Machine Learning, and Platform Systems Legacy systems are often treated as a necessary evil: work to be endured before moving on to more “real, strategic” projects. 13:35 Seacliff ABC Session Builder-Driven Development Jyothi Nookula Product Leader Director with 13+ Years Driving AI Product & Platform Innovation, Previously @Meta, @Amazon, and @Etsy Details coming soon. 14:45 Seacliff ABC Session You Can't Read the Code Anymore - Verifying Software in the Age of AI Omer van Kloeten Principal Engineer @Forter, 25+ Years in Software Engineering, Now Building an AI-Agent Framework to Tame Legacy Systems and Reduce KTLO AI writes most of the code now, so the hard part of engineering has moved from authoring to the part we’re worse at - verifying. With the incentives all pushing toward shipping faster and faster - the rational move is to skim the diff, click through a little manual QA, and ship on vibes. 15:55 Seacliff ABC Session When Everyone Can Code, Who Owns Production? Sanjay Singh Staff Software Engineer @LinkedIn Specializing in Large-Scale Distributed Systems, Traffic Infrastructure, Reliability, and Zero Trust Security AI is making it dramatically easier to create and change software, but writing code is only one part of the software lifecycle. Every change still needs to be deployed, observed, operated, diagnosed, and kept reliable in production.