Value proposition

Next Generation Code Analysis

🚀 Welcome to CodeScene: Next Generation Code Analysis! 🚀

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. Don’t just evaluate code, elevate it.


💡 About Our Product:
Unlock the Power of Contextual Code Analysis
CodeScene isn't your average code analysis tool. It looks at the evolution of your codebase and how your team actually works with the code, by mining your git history to understand the behavioral factors that impact code.

🔍 Explore Key Features:

1️⃣ Code Quality:
Dive Deep into Code Health
Discover the true quality of your code with CodeScene's Code Health score - the only code-level metric with proven business impact. Understand the contextual factors that impact code quality, from code complexity to risk probability, and increase your score by improving your code's maintainability based on our prioritization targets for refactoring.

2️⃣ Team Dynamics:
Leverage Behavioral Insights
Understand the dynamics within your development team and their impact on your codebase. Visualize knowledge distribution, simulate bus factors, and identify coordination needs to foster collaboration and efficiency and reduce organizational bottlenecks

3️⃣ Software Delivery:
Optimize Your Delivery Pipeline
Uncover the factors influencing your software delivery process, from unplanned work to branch analysis. Gain insights that accelerate your delivery pipeline, enabling you to deliver high-quality code at lightning speed.

CodeScene integrates with pull requests to provide feedback and detect code quality issues via an automated code review. This integration helps development teams by serving as a quality gate and early feedback loop.





code visualization, delivery performance, delivery risk, predictive analysis, code health, GitHub, GitLab, Azure DevOps, Jenkins, BitBucket, Quality gates, code analysis tool, engineering intelligence, software architecture, microservices, team dynamics, software delivery, code analysis, code review, engineering leadership, software development , ci/cd, software metrics, DORA metrics, manage technical debt, improve code quality, and measure knowledge distribution