Are we making a distributed monolith or are we making decoupled microservices? It can be hard to see if just looking at the repositories. I find it clear to get information from CodeScene regarding this by using the change coupling.
Generated code that looked correct, but wasn’t
AI-generated code may contain bugs and errors, especially when the codebase is complex or the prompt is unclear.
Adding technical debt
Overly complex or poorly written code can contribute to technical debt, making it harder to maintain and evolve the software
Limited context awareness
AI can miss the broader project context or subtle business logic, which may result in inaccurate or inappropriate code changes.
"Being able to check the code health score while writing code in the IDE is extremely helpful. This shift-left approach prevents file-level issues from being committed and drastically cuts review and remediation time. It's a must-have for every team's development lifecycle."
IntelliJ IDEA
RubyMine
GoLand
WebStorm
CLion
RustRover
PhpStorm
PyCharm
Rider
Android Studio Jellyfish
VS Code
Cursor
Visual Studio Code
Theia IDE
Windsurf
VSCodium
Coming soon
Visual Studio
No tools on the market could help us tackle technical debt in a data driven way - until we came across CodeScene.
Explaining technical debt is very frustrating, and not having metrics or data to refer to is even worse. CodeScene solves this in a very elegant way by visualizing the problems, costs and risks but also offering solutions - in so many ways, not just technical debt.
Explaining technical debt is very frustrating, and not having metrics or data to refer to is even worse. CodeScene solves this in a very elegant way by visualizing the problems, costs and risks but also offering solutions - in so many ways, not just technical debt.
We're working with a project that's been around for a solid 15 years. Back in its early days, tight deadlines led to a few shortcuts in the code. Thanks to CodeScene, we can now sift through that technical debt, pinpointing exactly where to channel our efforts for the most impactful improvements.
Everyone with big legacy codebases has developers telling them that “we need to rewrite all of these things”. But you can’t focus on everything at once. How do you make the right decisions around where to invest your resources? CodeScene helps prioritize development and refactoring efforts to areas that will have the biggest impact and return on investment.
As a non-developer working in a software development company, one of my jobs is to protect developers' time when possible. CodeScene lets me interrogate code and discover entry points for the developers to perform more in-depth code reviews.
I also like that I can show progress even our least technical stakeholders can understand with the streamlined visuals CodeScene creates.
I also like that I can show progress even our least technical stakeholders can understand with the streamlined visuals CodeScene creates.
From an engineering perspective, we can help identify team productivity bottlenecks and areas most expensive to maintain, support onboarding with knowledge maps of a system or domain, assist with off boarding by identifying the areas in need of knowledge transfer, help to maintain standards and more.