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Use case

Support Development Teams

Many organizations struggle with technical debt and code quality issues. CodeScene was developed to support development teams by providing them with actionable and continuous feedback loop for engineering decisions based on data.

Build maintanable systems

 

CodeScene focuses on code health in hotspots, as technical debt in these areas can become a large issue. This way, an organization can do pro-active refactorings while they are still affordable and avoid future maintenance headaches.

Groups - Support development teams (L)

Improve team productivity

 

Refactoring or re-designing a complex hotspot is a long process. CodeScene’s behavioral code analysis provides important feedback to the organization and serves as motivation to the people actually doing the work.

Groups - Support development teams (R)

THE PROBLEM

While many organizations struggle with code quality issues, traditional code analysis tools tend to focus on the details, rather than on prioritizing technical debt. Getting a long list of code quality issues is typically not very helpful to the development team.

THE SOLUTION

CodeScene prioritizes technical debt based on development hotspots. Combined together, the hotspot analysis and code health metric provide assessments in an automated and reliable way, limiting false positives to what’s actionable.

Benefits of this feature

Prioritize Actionable Refactorings

CodeScene’s X-Ray is a programming language aware analysis tool that operates on the function/method level of your code. Run a hotspot analysis to get a detailed insight into what’s happening inside large hotspots. The X-Ray analysis provides and prioritizes actionable refractoring targets.

Prioritize Actionable Refactorings

Prioritize Actionable Refactorings

Prioritize Actionable Refactorings

CodeScene’s X-Ray is a programming language aware analysis tool that operates on the function/method level of your code. Run a hotspot analysis to get a detailed insight into what’s happening inside large hotspots. The X-Ray analysis provides and prioritizes actionable refractoring targets.

Guide Sprint Retrospectives

Like most group activities, sprints are sensitive to biases, such as availability heuristics, pluralistic ignorance, social desirability, and confirmation bias. CodeScene’s behavioral code analysis reduces such biases and provides you with data on how your development efforts, features and stories impacted your codebase.

Landing section - Identify most expensive parts of code-1

Guide Sprint Retrospectives

Landing section - Identify most expensive parts of code-1

Like most group activities, sprints are sensitive to biases, such as availability heuristics, pluralistic ignorance, social desirability, and confirmation bias. CodeScene’s behavioral code analysis reduces such biases and provides you with data on how your development efforts, features and stories impacted your codebase.

More ways to use CodeScene

Identify, Prioritize and Manage Technical Debt

 

A codebase under active development is a moving target that’s going to change over time, which makes it difficult to manage technical debt. CodeScene lets you identify, prioritize and manage technical debt by giving you relevant and actionable information that you can turn into business value.

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Improve the Code Health of your Codebase

 

CodeScene analyzes your existing code and helps you set code health improvement goals. Start with an initial analysis, get actionable and prioritizes insights and track progress toward your goals.

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Automate Code Reviews

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.

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Improve Team Efficiency

 

Go beyond the code and consider the organization and people aspect of the system. With CodeScene, you can gain insight into the information invisible in the source code itself, such as coordination, communication and motivation. Use this information to address coordination needs and bottlenecks.

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Detect and correct delivery risks


CodeScene uses a machine learning algorithm that is trained to detect technical risks while weighting in on the social side of code such as the experience of the developer doing the changes.

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Minimize Developer On & Off-boarding risks


Simulate a planned off-boarding and detect any risks before they turn into issues. Use this information to guide the on-boarding process and support re-planning and re-prioritizing efforts.

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CodeScene just got a new look!

The new identity revolves around our vision to “give code an intelligent voice” and reflects our forward-looking culture. The new logo reinforces the idea of artificial intelligence and CodeScene being there as an extra team member, guiding you toward better software and teams.

The new website presents relevant content in a clean, minimalistic and modern way with an aim to give visitors easy access to solutions and information.

We are proud to share this new identity with our community and hope that it will inspire all of us to write better code, build happier teams and future proof our software.