Calculate your ROI with Kodus

Kody feels like having a senior dev reviewing every pull request—clear, actionable feedback on quality, security, and performance, right in Git. Since we started using it, our code review time dropped by 40%, and production bugs were reduced by half.

Kodus fit like a glove for me. Before, I was buried in slow code reviews. Now, feedback happens way faster, and I can actually focus on other things.

These days, Kodus is part of our daily review routine. It helps a lot with error handling and brings up suggestions that would often go unnoticed. This active listening and fast turnaround have made a real difference for our engineering team.

Since we started using Kody, the dev experience has improved a lot. Time spent on code reviews dropped by around 30%, and the AI brings valuable insights on performance, security, and code optimization. One of the best parts is that we can tailor how it works for each project.

Kodus has become an essential part of our process at Lerian. By standardizing steps and automating checks, we’ve gained more speed and consistency, while reducing rework and improving delivery quality.

Kodus has been helping us save a lot of time on code reviews, while also providing key engineering productivity metrics. Since we started using the tool, our average review time has dropped from hours to minutes.

We trained the team to use AI in day-to-day coding, and Kodus stepped in as our senior reviewer that never forgets anything. It doesn’t replace human review, but it’s now a required step: it ensures consistency and prevents repeat incidents.

Kodus has had a huge impact on our workflow by saving us valuable time during PR reviews. It consistently catches the small details that are easy to miss, and the ability to set up custom rules means we can align automated reviews with our own standards.

Kodus helped me move as fast as I ever could during my development days. It has never been so easy to ship reliable code and build real solutions.