If you're looking for a tool to tackle technical debt and get your code into a more reliable state, Grit is a strong contender. Grit combines machine learning and static analysis to automate code cleanup and framework upgrades for 12 programming languages. It includes features like automated refactoring, custom pattern definition, and feedback integration that can help you reduce maintenance time and speed up software development. Grit can be integrated with GitHub, VS Code, and the command line, and is geared for high-velocity software teams.
Another contender is Sonar, which is geared for high-quality, secure code. It can analyze code in IDEs, run self-managed static analysis, and analyze code in the cloud for continuous integration and delivery. Sonar can be integrated with a variety of services, including GitHub, Bitbucket, Azure DevOps and GitLab, and is designed to keep code clean and at a high level of quality so developers can focus on innovation, not maintenance.
For a more complete solution, you might want to look at SonarCloud, an online code review service that integrates with cloud DevOps services. It supports more than 30 programming languages and frameworks, can automatically analyze code, and includes developer security tools like secrets detection and SAST. SonarCloud is good for teams that want to tackle technical debt and ensure secure coding practices.
Last is Codacy, a more general-purpose service to improve code quality, security and engineering efficiency. It supports more than 40 programming languages and can be integrated with GitHub, Bitbucket and GitLab. Codacy offers tools to enforce coding standards, detect security vulnerabilities and monitor test coverage. With its AI-based suggested fixes and DORA metrics, Codacy can help you get to high code quality and security while improving your team's productivity.