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Use case

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.

THE PROBLEM

No matter what baseline we start from, we never want our code to become worse. Why make it harder to read, understand, or maintain? Given the scale of modern software systems, it’s challenging to track and act upon negative trends.

THE SOLUTION

CodeScene pull request integration detects code quality issues via an automated code review. It serves as a quality gate and early feedback loop with recommendations to take your codebase in the desired direction.

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Benefits of this feature

Instant feedback

When integrated with pull requests, CodeScene acts as a quality gate during development. If a hotspot declines in health, CodeScene detects it and informs users. Developers get a detailed explanation of issues affecting code health as well as recommendations to inform their next steps.

Instant feedback

Instant feedback

Instant feedback

When integrated with pull requests, CodeScene acts as a quality gate during development. If a hotspot declines in health, CodeScene detects it and informs users. Developers get a detailed explanation of issues affecting code health as well as recommendations to inform their next steps.

Code Quality Protection

Set your team’s code quality standards. Plan refactorings to bring old code in line with your standards and make sure all future code meets your quality goals. CodeScene detects and notifies you if planned goals are violated or if code health for any hotspot has declined.

Landing section - Automate code reviews-2

Code Quality Protection

Landing section - Automate code reviews-2

Set your team’s code quality standards. Plan refactorings to bring old code in line with your standards and make sure all future code meets your quality goals. CodeScene detects and notifies you if planned goals are violated or if code health for any hotspot has declined.

Supervise Code Health in Pull Requests. Get instant improvement recommendations.

Quality gates pass, indicating no decline in code health.

 

CodeScene allows you to go beyond absolute numbers and measure code health trends of hotspots. This kind of behavioral code analysis acts as a visualization of the evolution of a system, not as a static snapshot of a point in time.

Groups - Improve codebase health (L)
  • Checklist Use trend measures as targets and goals
  • Checklist Get important feedback for the organization and developers
  • Checklist Find out whether the code is evolving in the desired direction
  • Checklist Learn whether development hotspots are getting better or worse

Quality gates triggered, meaning some code declines in health.

 

No matter what, we never want to see a decline in code health. CodeScene’s pull request integration allows you to detect code quality issues via automated code reviews. Real-time data on the effects of development will help your decision-making process.

Groups - Improve codebase health (R)
  • Checklist Get automated code reviews
  • Checklist Automated integration with all major Git hosting platforms
  • Checklist Support for build pipelines like Jenkins
  • Checklist Use open REST API for custom integrations

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 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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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.

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Understand the intersection of people and code


Adopted as a way of scaling the development organization, microservice architecture brings its own challenges. CodeScene helps you succeed with this high-discipline architecture by monitoring code, dependencies, and team coupling.

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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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New visual identity
New website
new product interface
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.