If you're looking for tools that integrate with GitHub and Bitbucket to monitor and improve test coverage and code quality, Codacy is a powerful option. It supports more than 40 programming languages and offers tools like CodacyCoverage for monitoring test coverage and CodacyPulse for measuring engineering performance. It integrates with GitHub, Bitbucket and GitLab, and offers AI-based suggested fixes that you can apply directly in your Git workflows. Codacy's pricing tiers include an Open Source plan for public repositories, Pro ($15 per developer per month), and Business for large teams.
Another great option is SonarCloud, which offers automated code review and analysis. It supports more than 30 programming languages and frameworks, and can be integrated with services like GitHub, Bitbucket and Azure DevOps. SonarCloud offers clear quality gates, actionable results and advanced security tools. It also offers a 14-day free trial, so you can try it out with open-source and private projects.
If you want to take the AI-powered route, check out Korbit. This tool automates code reviews for GitHub pull requests, giving you immediate feedback to improve code quality and productivity. Korbit offers a free version for up to 3 users on 1 repository and a Pro plan for unlimited users and repositories, so it's good for small and large teams.
Last, Second is an AI engineering platform that can help you make large enterprise codebases easier to maintain. It offers automated migrations from GitHub, Bitbucket or GitLab, codebase intelligence and dedicated tenant deployments for better security. With a free Starter plan and a Pro plan at $50/month, Second is a good option for automating and improving code quality and security for larger projects.