The Context Void: Why Perfect AI Code Fails in Production

​About This Event

​AI has made code generation 10x faster. So why are engineers more buried than ever?

​The bottleneck didn't disappear. It moved. From writing code to verifying it. And the tools we're using to verify AI-generated code weren't built for this problem.

​In this webinar, Gal Vered (CEO & Co-founder of Checksum) introduces the Context Void: the gap between what an AI coding agent can observe and what actually determines whether software works in production. It's not a model problem. It's a structural one — and it's in every PR your team ships.

​We'll cover:

• ​Why AI-generated code produces ~1.7x more errors than human-written code and why better models won't fix it

• ​The $10B+ lesson from CrowdStrike and Cloudflare: what happens when individually-correct systems interact in ways no one tested

• ​What autonomous vehicle development figured out about verification and why software engineering needs the same infrastructure

• ​What it looks like when the prompt becomes the source of truth, not the code

​This isn't a product demo. It's a framework for thinking about the next phase of AI-assisted engineering and what has to be true before we can actually trust what the agents ship.

​Who Should Attend

​Engineering leaders, CTOs, and senior developers who are shipping with AI coding tools and feeling the verification problem firsthand.

​About The Presenters

​Checksum.ai

​Checksum is the continuous quality platform for engineering teams shipping AI-generated code. Its AI agents automatically generate, run, and maintain end-to-end tests based on real user sessions, so teams can move fast without breaking things.

​AlphaSignal

​AlphaSignal is the intelligence layer of AI, delivering the daily news and insights top engineers actually read. Trusted by 300,000+ engineers, researchers, and founders worldwide.