G2

Yossi Z.

SCM DevOps Group Lead

Enterprise (> 1000 emp.)

9/9/2025

"Impactful code quality measurements"

4.5/5

What do you like best about CodeScene?

Codescene helps to quickly identify various issues within your codebase, no matter how big it is - I've used it for projects ranging from 500 lines of code to over 4 million. The issues are tangible and actionable, not just "good to know" - you really see the immediate impact of addressing them. Aside from code quality, you can also view things like hidden dependencies (e.g., files that often change together), team knowledge sharing levels, planned vs. unplanned work (when integrated with a PM tool such as Jira), and much more information - all measurable and nicely presented. Easy to define KPIs and quality gates which are easy to integrate and enforced via pull request and CI/CD pipelines. The integration with developer IDE (mainly VSCode) is also extremely useful to catch issues early on and encourage developers to follow the "boy scout rule" when working on existing code. The only reason I didn't give a 10 is because what's lacking for me was support for code coverage - it was recently added to the product, but I have yet to try it out. Review collected by and hosted on G2.com.

What do you dislike about CodeScene?

It can be a bit overwhelming at first, especially for a large codebase with a large team that does not have clear boundaries or separation. It could take some time to define the team structure and code architecture to really utilize Codescene's full potential (although even without it there is still a lot of value). Review collected by and hosted on G2.com.

What problems is CodeScene solving and how is that benefiting you?

On projects with lots of legacy code, often without proper structure, it's easy to lose focus and not understand what's important. CodeScene helps by pointing out the major "red spots" that need attention - for example, files that already have poor code quality and are changed a lot by multiple people. It encourages improving code quality and readability, preventing potential bugs, and making the code easier to maintain and faster to update. With AI integration, it's easier than ever - let the AI do the heavy lifting of the boring refactoring tasks like breaking up methods or removing duplicate code. Besides that, in any project, it helps to spot potential management issues before they happen - for example, if certain code is only handled by one developer, it is a potential knowledge gap issue and risk in case the person is not available for a long period of time. Review collected by and hosted on G2.com.