Yishai Beeri
CTO at LinearB
Yishai Beeri likes to solve problems, and that’s why he was so fascinated with programming when first encountered Logo back in the 80s, where the possibilities seemed endless.
He has made it a focus of his career to solve complex programming problems, as a consultant and entrepreneur. Between 2013 and 2020, Yishai worked in the CTO office of a fast moving cloud security startup, and after its acquisition in the Cloud Security unit of a networking giant. In 2020 Yishai joined LinearB to focus on Developer Productivity and Experience. As CTO he engages with hundreds of engineering leaders and helps build products that answer the industry's core questions about AI & Productivity for software engineering.
Your AI Code Reviews Are Missing the Point (And How to Fix It)
AI code reviews often feel like tossing a coin. Heads - you get endless nitpicks about style. Tails - it finds real issues. And even when the signal is good, are we getting real quality and productivity benefits?
The secret isn't the AI, it's how you deploy it. This talk takes lessons learned from hundreds of teams with thousands of AI code reviews daily to explore what actually drives value in AI-assisted code reviews: rich context, personalization, and measurable impact on developer productivity.
Learn to transform AI reviews from a compliance checkbox into a strategic advantage for your engineering organization.
Key takeaways:
- Review the criteria for evaluating code review solutions, from basic through advanced to game changer
- Track AI review impact on productivity metrics such as cycle time, code quality metrics and developer satisfaction
- Connect code review with automation flows to curb the new code acceptance bottleneck and unblock productivity for your teams