If you want to automate code reviews and enforce internal quality rules, SonarCloud is a strong contender. It can link to GitHub, Bitbucket and Azure DevOps and supports more than 30 programming languages and frameworks. SonarCloud can perform automated code analysis, define quality gates and present results. It also includes advanced security tools like secrets detection and static application security testing (SAST), so it's a good pick if you want to improve software quality and security.
Another strong pick is Korbit, an AI-powered code review tool that can be easily integrated with GitHub. Korbit offers immediate and accurate feedback on pull requests, which can help improve code quality and productivity. It also offers a management dashboard to track code quality and developer performance, so it's a good option for teams that want to improve their code review process.
Codacy is another strong contender, supporting more than 40 programming languages and frameworks. It includes a variety of tools to enforce coding standards, detect vulnerabilities, track test coverage and evaluate engineering performance. Codacy can link to GitHub, Bitbucket and GitLab, and can offer AI-based suggested fixes right in Git workflows, so it's a good pick if you want to improve code quality and security.
If you want to go even more AI-heavy, HOJI AI is a good option. It uses GPT-4 technology for consistent and high-quality feedback, freeing developers to focus on higher-level work. HOJI AI offers customizable feedback and works with languages, so it's designed to be as productive as possible without undermining the integrity of users' codebases.