Question: Can you recommend a platform that integrates with GitHub and automates code reviews for security and performance?

If you need a service that works with GitHub and automates code reviews for security and performance, PullRequest is worth a serious look. PullRequest offers both on-demand and continuous code review options, including AI-powered code review to identify high-risk security vulnerabilities and human reviewers for deeper analysis. It can work with widely used source control tools like GitHub and has customizable workflows, so it's a good fit for teams that want to improve code quality and security without disrupting their workflow.

Another strong contender is Korbit, an AI-powered code review service that fits right into GitHub workflows. Korbit gives you fast, accurate feedback to improve code quality and speed up development. Its features include instant PR code reviews, code quality insights and project status tracking, so it's a good choice for teams that want to speed up their code review process. Korbit also protects your data, following industry standards to ensure code remains confidential and users remain private.

CodeReviewBot is another AI-powered service that integrates with GitHub pull requests to give you detailed feedback and suggestions for improvement. It uses advanced AI algorithms to identify potential problems and offer detailed feedback, so engineering teams can automate the more routine aspects of code review. That means they can focus on more complex issues and new features, and it's a good choice for teams that want to optimize their code review process.

If you want more features, check out SonarCloud. This online code review service supports more than 30 programming languages and frameworks and can be integrated with services like GitHub, Bitbucket and Azure DevOps. SonarCloud offers automated analysis, clear quality gates and advanced developer security tools, including SAST to find security problems. It also offers immediate feedback and in-context coding advice, so it can be used for a variety of use cases from technical debt management to secure coding practices.