If you're looking for a tool that can help you with AI-assisted debugging of error messages, Metabob is worth a look. Metabob uses graph-attention networks and generative AI for tasks like code review, refactoring and debugging. It can find complex bugs in code and explain them with context-sensitive explanations and fixes. Metabob can be self-hosted and integrates with common development tools, so it can be used for tasks like maintaining legacy code, analyzing new code and checking AI-generated code.
Another tool worth a look is LastMile AI. It's a full-stack developer platform intended to help engineers productionize generative AI applications. LastMile AI includes tools like Auto-Eval for automated hallucination detection and evaluation, RAG Debugger for unified OpenTelemetry traces, and Consult AI Expert for advice from a team of engineers and ML researchers. The platform supports multiple AI models and offers resources like GitHub community forums and documentation to help you get up and running with production-ready generative AI applications.
If you prefer a more interactive approach, Kodezi offers AI-powered tools for code correction, debugging and optimization. It can automatically debug code with explanations, optimize code with advanced techniques and support more than 30 programming languages. Kodezi offers a command-line interface and a web-based interface, so you can use it in whatever environment you prefer. The tool is designed to help you get more done and be more productive by automating mundane coding tasks so developers can spend more time on higher-level work.
Last, ZZZ Code AI offers a multilanguage coding environment with AI tools for debugging, code generation and code refactoring. It supports many programming languages and offers tools like AI Code Debug for finding bugs and providing feedback, and AI Code Refactor for optimizing code. ZZZ Code AI runs online for free, so it's a good option for quick bug fixes and code optimization tasks.