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CodeScene identifies and prioritizes technical debt based on how the organization works with the code. Using CodeScene you can:

  • Prioritize a small part of your codebase – typically 2-4% – that identifies the most likely return on any code quality investments.
  • Explore the efficiency of your organization with respect to Conway’s Law.
  • Detect sub-systems with low team autonomy that become productivity bottlenecks.
  • Measure the technical risk when a key developer leaves the project.

CodeScene is a behavioral code analysis tool that analyzes behavioral data as recorded in version-control systems. This lets CodeScene uncover both organizational information such as knowledge distribution, inter-team coordination bottlenecks in code, as well as prioritizing technical issues based on the estimated return on investment if the findings are addressed. Get a quick tour of CodeScene in this video.

CodeScene supports multiple repositories including high-level architectural analyses to detect implicit dependencies across architectural components and/or microservices. CodeScene supports all major programming languages.

CodeScene is a tactical tool that helps you base your decisions on data. The analyses have evolved from the book Software Design X-Rays: Fix Technical Debt with Behavioral Code Analysis.

CodeScene's machine learning intelligence prioritizes your technical debt so you get a return on your investments in improvements.
Get a virtual code reivew on the prioritized technical debt.
Find team coordination bottlenecks based on code contributions.
Detect implicit dependencies between different modules that aren't visible in the code itself.
Simulate the impact during off-boarding and the consequences of technical sprawl on an architectural level.
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