Question: I'm looking for a solution that allows me to define custom rules for code review to ensure consistency across my team's codebase.

The first, Trag, is a code review tool that uses AI to try to speed up the code review process. It can spot bugs before human reviewers see the code and enforce coding standards with rules you can set yourself. Trag also handles multiple repositories, pull request review and team collaboration, so it's a good option for teams that want to try to get their code review process in order.

Another good option is HOJI AI, which integrates with GitHub to give you consistent and high-quality feedback with the GPT-4 technology. The tool offers automated code reviews, customizable feedback and unbiased review comments. It works with any programming language and has unlimited reviews. HOJI AI is designed to let you focus on higher-level work by automating the more routine parts of code review.

If you want a more customized review, CodeReviewBot uses AI to review code within GitHub pull requests. It applies advanced AI algorithms to review code, identify potential problems and offer detailed feedback. It's got customizable review rules and different pricing levels, so it can be useful for engineering teams that want to automate some of the more mundane code review work and focus on more creative work.

Last, Korbit automates code review for GitHub pull requests, offering immediate and accurate feedback to improve code quality. It's got features like GitHub integration, code quality insights and developer performance tracking. With customers with successful results and a range of pricing plans, Korbit is a good option for teams that want to try to get their code review processes in order.