For AI-powered code generation and debugging, GitHub Copilot is a top option. It offers context-aware help in many parts of the development process, including code completion, chat help for code explanations and even tracking work to suggest pull request descriptions. It also integrates with other tools like log error checking and cloud deployment, so it's a good all-purpose tool for getting work done fast.
Another tool worth a look is Codeium, which supports more than 70 programming languages and integrates with top IDEs. It offers more-advanced code completion, AI-powered search and a chat assistant for tasks like boilerplate code generation and bug fixes. Codeium is for individuals and teams, with data security and privacy controls.
Kodezi is also interesting, with a focus on automating code correction, debugging and optimization. It offers features like auto-generated OpenAPI YAML documentation, automated code debugging and advanced code optimization. Kodezi supports more than 30 programming languages through its command-line interface and web-based interface, with the goal of maximizing productivity and ensuring professional coding standards.
Finally, Tabnine offers personalized AI code suggestions based on patterns in your own code, supporting several popular programming languages and IDEs. It keeps code private and secure, with options for on-premises or cloud deployment. Tabnine's custom models trained on your own codebases and dedicated support make it a good option for individuals and large teams.