Features
What are the behavioral factors of quality code?
Static code analysis only takes into account the code itself in regards to code quality. With CodeScene you can gain deeper insights into dev team dynamics by visualizing how individual authors and teams impact your code, from file ownership to output metrics.
For code analysis that takes the human element into consideration.
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CodeScene's core features for team dynamics and behavioral code analysis
How well does your team know the code?
Knowledge distribution and risks
CodeScene's knowledge distribution dashboard keeps track of important developer team dynamic metrics such as key personnel distribution, personnel risks, low code familiarity, and where bottlenecks may occur between team and personnel coordination. Knowledge metrics are based on the amount of code each developer has contributed and where.
Achieve proper alignment
Team/code alignment with Conway's Law
Our Conway's Law visualizations show you how aligned your dev teams are with your system architecture. View primary authors, knowledge risks, technical sprawl, and more. Understand the level of your team cohesion by visualizing whether members work on the same parts of the system.
Features
Team/code alignment with Conway's Law
Our Conway's Law visualizations show you how aligned your dev teams are with your system architecture. View primary authors, knowledge risks, technical sprawl, and more. Understand the level of your team cohesion by visualizing whether members work on the same parts of the system
Measure delivery effectiveness
Measure development throughput in the context of organizational trends based on Brook's Law.
See aggregate author statistics
Get an overview of developer output with contribution statistics and patterns per author.
Discover team coordination needs
See if your teams have excess parallel development and where you have high fragmentation value.
View file ownership by author
Drill down into your code base to understand primary authors / owners for modules and files.
“Great tool to help team work on monoliths and individualise knowledge islands”
Verified User
- Mid-Market IT company
“Total gamechanger for software development”
Adam Chapman
- Software Developer, Mid-market company
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AI vs. Code Maintainability: Extending Cursor with Automated Code Reviews
How to integrate automated code reviews within Cursor AI for maintainable, high-quality code with real-time feedback and AI-refactoring.
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Your Team’s Automated Defense Against Technical Debt
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From Tech Debt to Triumph: How Refactoring Speeds Development by 43%
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