Adding more AI-generated code won’t help if your team can’t review or deploy it any faster.

Lizzie Matusov (Co-Founder & CEO at Quotient) explains why AI token usage and code volume are poor proxies for engineering velocity.

If code review, testing, or deployment is your primary bottleneck, generating 10x more code only creates a bigger backup. Real throughput gains come from addressing constraints across the entire SDLC.

🔗 Watch the full presentation: https://www.infoq.com/presentations/ai-sdlc-maturity-framework-bottlenecks/

#AI #Productivity #CodeReview #Metrics #SDLC #InfoQ