If you want a tool that can automatically find bugs in your code, explain them, and fix them, Metabob is a top contender. It combines graph neural networks and large language models to spot problematic code and then generate context-sensitive explanations and fixes. The AI-powered coding assistant can be used for code review, refactoring and debugging, and it can be integrated with common development tools.
Another top contender is GitHub Copilot, which offers context-sensitive help at every stage of development. It can offer code completions, turn natural language prompts into code and explain code and codebase questions. Copilot works with several IDEs and terminals and is trained on natural language text and source code, so it's a good option for developers who want to get more done without introducing security vulnerabilities.
If you're looking for something more focused on code correction and debugging, Kodezi offers automated code debugging with explanations. It also includes advanced code optimization and supports more than 30 programming languages. Kodezi also comes with KodeziChat for answering coding questions and PDF to code generation. Overall, it's a powerful tool to help you get more done and maintain professional coding standards.
Last, Codeium offers advanced code completion, AI-powered search and a chat assistant to write boilerplate code and suggest bug fixes. It supports more than 70 programming languages and works with leading IDEs. With tiered pricing plans, Codeium is for individual developers and teams, and its goal is to help you get more done and deliver high-quality code faster.