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Description

Astronuts is an innovative code review platform powered by AI, aimed at enhancing the development workflow by automating the processes of code reviews and bug corrections. Developers can easily kick off code evaluations with a straightforward command, receiving intelligent, line-by-line feedback and suggestions for automatic fixes. This platform boasts various features, including summaries for pull requests, metrics on code quality, and detailed change logs, all presented within an intuitive interface. By integrating effortlessly with GitHub, Astronuts empowers teams to keep track of pull request sizes and monitor code health metrics, significantly cutting down on the time spent on code reviews while also decreasing the occurrence of bugs. Additionally, the platform facilitates real-time chat for addressing code-related inquiries, offers customizable settings for behavior, and establishes rules to uphold coding standards. Supporting a range of programming languages and build systems, Astronuts is well-equipped to serve various development environments effectively. Moreover, the platform provides a free trial along with $5 in credits, allowing teams to test its features without any upfront investment, making it an attractive option for organizations looking to enhance their coding practices. Overall, Astronuts aims to transform the way development teams approach code quality and efficiency.

Description

GitView is an git analytics tool for engineers leaders. All the work happening in your engineering organization can be seen in one place. You will see code changes, pull request, and reviews. Use meaningful metrics to determine which code changes are most impactful. Simple to understand graphs and tables show impact scores and whether code modifications are new work, slow, churn, legacy changes (refactor) or simple removal. DORA insights include deployment frequency, lead times for changes and failure rate. Visual displays of velocity and detailed cycle time breakdown help to identify bottlenecks and improve efficiency. All data can be filtered using teams, contributors, repositories, and other methods. We emphasize transparency & customizability. You can see how each data point was calculated. You can also use Raw SQL to create custom reports, dashboards and emailers.