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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
Discover our new Context-Aware Gating feature for pull requests. Automate Code Health reviews to ensure quality standards and improve maint...
From Tech Debt to Triumph: How Refactoring Speeds Development by 43%
In this article, we’ll use a statistical model that translates Code Health scores into tangible business value – faster development and few...
Tutorial: Automated Code Reviews with CodeScene's Pull Request integration
CodeScene integrates with pull requests to provide feedback and detect code quality issues via an automated code review. It's a popular integration that helps development teams by serving as a quality gate and early feedback loop. This video explains how to enable the integration and how it works.
Technical Debt: Identify, Visualize and Manage Based on Impact
In this tutorial you'll quickly understand how you can visualize codebases of any size and pinpoint technical debt using Hotspot Maps. You will learn how to: - Identify modules where you spend most of your development time and where the majority of work is happening.