What to do when there’s too much code to review

More code, more problems. While AI coding tools and agents have gotten very good at producing code, teams are sticking to the same review patterns, even as those reviews get bigger and noisier. That’s one hell of a bottleneck.

LeadDevs’ own research recently found that 57% of organizations still rely on “human-in-the-loop” review for every line of AI-generated code, and 29% are spending more time on code review than before.

Can AI itself help here? And if so, how do you work with LLMs in a way tailored to your organizations’ specific processes and risk appetite?

Watch this expert panel along with our partner CodeRabbit, where we’ll discuss: 

• How code review is evolving in the age of AI
• Where to set guardrails when there is too much code to review
• Tactics for maintaining code quality, security, and organizational standards as AI code volumes increase