CodeScene is a multi-purpose tool bridging code, business and people. See hidden risks and social patterns in your code. Prioritize and reduce technical debt.
In this tutorial we use CodeScene ACE to refactor code smells using Gen-AI and through a fact-checking validation we can make sure that the refactoring has preserved the behaviour of the code.🚀
Sign up for our upcoming C-suite discussion on the AI risks, who should own these discussions and how to mitigate these business risks.
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AI agents need 35–45% more tokens to work in unhealthy code than in healthy code.
Turn that into a dollar figure, and technical debt becomes a board-level ROI case.
Matthew Skelton, Adam Tornhill & Daniel Webb break down the numbers:
codescene.com/resources/tuto…
How did loveholidays scale agentic code without sacrificing code quality? What quality checks did they have in place?
Read the full case study:
codescene.com/customers/love…
Our research across C++, Java, and Python shows that agents working on unhealthy codebases consume 35-45% more tokens to complete the same tasks. There is a way to save that waste and mitigate the risk.
Read more:
codescene.com/blog/unhealthy…