Managing code quality and human attention in an era of abundant AI-generated code is the biggest unsolved problem — an open season for new companies to solve.

Elad identifies the core anxiety of the AI era: if agents generate enormous amounts of code that nobody reads, codebases become fragile and poorly understood. He argues this is a bigger problem than whether specific SaaS tools survive, and is 'open season' for new solutions. ✦ AI generated

Elad · No Priors · 2026-02-19 · original ↗

Well, the anxiety that I see is like if you can generate an enormous amount of code and no one is reading it, you don't know the quality of the code. Nobody deeply understands the code base and there's more fragility, right? It's like the slop problem, but instead of it being like vibe coding slop for random websites for non-technical people, it's vibe coding slop in my actual production code base for every lazy engineer, which is every engineer. I think people are like looking at some problems of actually do you think ticketing, ticketing systems are like at risk, but I think the broader problem that Jira could go solve or new company could go solve is like nobody knows how to manage that issue of human attention to engineering. And there's a bunch of ideas like testing and smart review, just let agents do it, formal verification. I think it's like open season around this really, really big problem.

verbatim transcript · starts at 10:09