CodeScene is a code analysis, visualization, and reporting tool. Cross reference contextual factors such as code quality, team dynamics, and delivery output to get actionable insights to effectively reduce technical debt and deliver better code quality.
We enable software development teams to make confident, data-driven decisions that fuel performance and developer productivity.
CodeScene guides developers and technical leaders to:
- Get a holistic overview and evolution of your software system in one single dashboard.
- Identify, prioritize, and tackle technical debt based on return on investment.
- Maintain a healthy codebase with powerful CodeHealth™ Metrics, spend less time on rework and more time on innovation.
- Seamlessly integrate with Pull Requests and editors, get actionable code reviews and refactoring recommendations.
- Set Improvement goals and quality gates for teams to work towards while monitoring the progress.
- Support retrospectives by identifying areas for improvement.
- Benchmark performance against personalized trends.
- Understand the social side of the code, measure socio-technical factors like key personnel dependencies, knowledge sharing and inter-team coordination.
- Put findings into context based on how your organization and your code evolves.
Supporting 28+ programming languages, CodeScene offers an automated integration with GitHub, BitBucket, Azure DevOps or GitLab pull requests to incorporate the analysis results into existing delivery workflows. Get early warnings and recommendations about complex code before merging it to the main branch, set quality gates to trigger in case your code health declines.
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CodeScene ABLanguages Supported
English
Product Description
CodeScene is an advanced code analysis and visualization tool designed to enhance software development by providing actionable insights into code quality, team dynamics, and delivery performance. By analyzing version control data and employing machine learning algorithms, CodeScene identifies technical debt, detects hotspots, and predicts maintainability risks, enabling teams to make informed, data-driven decisions that improve code quality and developer productivity.
Key Features and Functionality:
- Code Quality Analysis: Utilizes the proprietary Code Health metric to assess code maintainability, considering factors like complexity, code smells, and risk probability.
- Hotspot Detection: Identifies frequently modified areas in the codebase that may require attention, allowing teams to prioritize refactoring efforts effectively.
- Team Dynamics Visualization: Analyzes behavioral aspects of the codebase, such as knowledge distribution and team collaboration patterns, to highlight potential risks and coordination needs.
- Software Delivery Insights: Provides metrics on unplanned work, branch analysis, and cost factors to help teams understand and improve delivery performance.
- AI-Powered Refactoring (CodeScene ACE: Assists in maintaining and improving existing code by offering AI-driven refactoring suggestions directly within the development environment.
- Integrations: Seamlessly integrates with various repositories, issue trackers, CI/CD pipelines, and IDEs, supporting over 25 programming languages.
Primary Value and Problem Solved:
CodeScene addresses the challenge of managing technical debt and maintaining high code quality in complex software projects. By providing comprehensive insights into code health, team dynamics, and delivery processes, it enables organizations to identify and prioritize areas for improvement, streamline development workflows, and ultimately deliver more maintainable and scalable software. This proactive approach helps teams reduce the time spent on rework, enhance collaboration, and accelerate the delivery of high-quality code.
Overview by
Romanela Polutak
