Case Study: Parallel Web Systems achieves higher code quality at scale with Macroscope

Parallel Web Systems reviews 4,800+ PRs with Macroscope

Parallel Web Systems, a company that builds web data APIs for AI agents, faced the challenge of maintaining engineering velocity and code quality as their team grew. Code reviews had become a bottleneck, and keeping track of progress without adding process overhead was difficult. They chose Macroscope for AI-powered code review to address this.

By implementing Macroscope, the vendor provided high-signal automated code reviews, allowing engineers to focus on higher-level issues. The solution also offered automatic status updates, eliminating the need for unnecessary meetings. As a result, Macroscope has reviewed over 4,800 pull requests with a 2.2% disapproval rate, enabling the team to ship higher quality code faster.

Parallel Web Systems