Case Study: Cars24 tripled production-landed code with Macroscope

Cars24 triples production-landed code in 3 months with Macroscope

Cars24, a major auto-tech company, faced a challenge in measuring engineering productivity after the widespread adoption of AI coding agents. Traditional metrics like commit and pull request volume no longer indicated what code was actually shipping to production, making it difficult to connect their significant token spend to tangible outcomes. They turned to Macroscope Status to find a solution.

Macroscope provided Cars24 with a new way to measure output based on what code ultimately reached production. Using Macroscope's insights, the company identified bottlenecks and was able to triple one team's production-landed code within three months. Macroscope also provided Code Review and Approvability tools to manage the scale of AI-generated code, ensuring code quality and efficient use of human reviewer time.

Cars24