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.

Code ownership boosts accountability and speeds up reviews. Use CODEOWNERS strategically to align teams, reduce delays, and keep your codebase healthy.

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

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

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.

This article compares SonarQube and Fortify's features, capabilities, and functionalities.

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

This post reviews five common causes of flaky tests showing up in your build pipeline and how best to manage them.