
As teams scale and repositories grow, especially in monorepos, code reviews can become a bottleneck rather than a safeguard.

AI code review tools help improve code quality, speed up development, and enhance teamwork by automating repetitive tasks and spotting security issues. While they are effective, they aren't perfect and may miss certain bugs or fail to understand complex systems. Combining AI tools with human insight results in the best outcomes for faster, cleaner, and more reliable development.

Improving the code review process is more than just enhancing the technical aspects or speeding up the timeline.

AI based Coding assistants are becoming very popular with the developers today. Find out how you can understand and measure its real impact on productivity

Many code review processes become bottleneck for the engineering teams. Instead of finding bugs, it hinders progress leading to poor developer experience.

A customizable framework for managing code review assignments, notifications and response expectations, to improve inter-team collaboration and reviews speed.

FlexReview is an alternative to Codeowners. It uses reviewer expert score along with availability, workloads and the complexity of code change to determine the right reviewers.

In this guide, you'll learn all about why you need CODEOWNERS and how to effectively use this feature in your software development workflow.