If you want to find edge cases and other suspicious behavior in your code, SonarCloud is a great option. It's got a full suite of code review options, including integration with big DevOps tools like GitHub, Bitbucket and GitLab. SonarCloud offers automated analysis, quality gates that are easy to understand and results that are easy to act on. It's got more advanced security features like secrets detection and static application security testing. With its speed and precision, it works with a broad range of programming languages, so you can be sure your code is good and secure.
Another option is Metabob, an AI coding assistant that uses graph-attention networks to spot complex coding problems. It's got a range of abilities, including code review, software security scanning, debugging and refactoring. Metabob can be self-hosted and integrates with common development tools, so it can be used to maintain legacy code, analyze new code and even check AI-generated code.
If you want a more narrow security focus, DryRun Security gives developers security context as they write code. Its AI-powered Security Buddy scrutinizes pull requests with the SLIDE model, checking authentication, authorization and sensitive code paths. DryRun Security is designed to be fast and accurate for security code reviews, so it won't slow down developers while keeping security high.
Last, CodeReviewBot is an AI-powered code review service that works with GitHub pull requests. It uses advanced AI algorithms to automatically review code, flag potential problems and offer detailed feedback and suggestions. It can help you improve your code review process by automating routine checks and giving you more time to focus on the important issues.