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Description

CodeScene's powerful features go beyond traditional code analysis. Visualize and evaluate all the factors that influence software delivery and quality, not just the code itself. Make informed, data-driven decisions based on CodeScene’s actionable insights and recommendations. 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.

Description

Codeball is an AI designed for code reviews, providing a scoring system for pull requests that ranges from 0 (indicating a need for thorough examination) to 1. By leveraging Codeball, you can apply labels to prioritize your focus, automate approvals for straightforward PRs, and enhance your review process. Its user-friendly action comes with sensible defaults while offering extensive customization options to fit your specific workflow requirements. You'll be able to label pull requests that require careful scrutiny, ensuring that you remain vigilant and prevent bugs from sneaking through unnoticed. Codeball efficiently identifies, approves, or labels PRs deemed safe, allowing you to save valuable time by expediting the review of simpler contributions. Built to be fully customizable and programmable through GitHub Actions, Codeball Actions consist of various modular components that can be tailored to meet your needs. Utilizing a deep learning model, Codeball analyzes over one million pull requests, taking into account numerous factors for each submission. Its optimization for precision ensures that it only approves those contributions that it has a high level of confidence in, making it a trustworthy assistant in your development workflow. With Codeball in your toolkit, you can streamline your code review process while maintaining high standards of quality in your projects.