Question: Can you recommend a tool that uses AI to review code and identify complex problems that span multiple codebases?

If you're looking for a tool that uses AI to review code and find complex problems spanning multiple codebases, Metabob is a top contender. Metabob uses graph-attention networks and generative AI to help software developers improve security and quality by finding and fixing complex bugs. It includes AI code review, software security scanning, debug and refactor, and self-hosted deployment with integrations with common development tools.

Another top contender is Sourcegraph, a code intelligence platform that includes an AI-powered coding assistant called Cody. Sourcegraph helps developers understand and navigate large codebases better with features like cross-repository code navigation, fast and accurate code search, and automated large-scale code changes. It supports multiple programming languages and code hosts, and can be deployed in the cloud or self-hosted, so it's a good fit for development teams.

If you want a tool that automates code review for GitHub pull requests, check out Korbit. Korbit gives developers immediate and accurate feedback to improve code quality and speed up development. It fits right into GitHub workflows and provides code quality insights, project status monitoring, and developer performance metrics, so it's a good option for teams that want to speed up their code review process.

For a more context-aware assistant, GitHub Copilot offers AI-powered help in many parts of the development process. It can complete code, answer questions about codebases and help you keep track of work with suggested pull request descriptions. Copilot works with a variety of IDEs and services, so it's a good option for developers who want to write code more efficiently and avoid security problems.