For speeding up debugging and improving code quality, GitHub Copilot is a great option. This AI-powered tool provides context-aware help as you code, with features like code completion, natural language prompts to code suggestions and chat help to ask questions about your codebase. It also integrates with a variety of tools and services, so it can be used in a variety of workflows. And with its ability to track work and suggest pull request descriptions, GitHub Copilot can help developers work more efficiently and avoid security problems.
Another tool that can help is Wasps, which is built straight into your IDE for immediate feedback and suggestions for improving your code. It quickly spots buggy and vulnerable code, providing feedback and suggestions for fixes. It's designed to cut down on debugging time and improve overall code quality, and it's a good option for developers who want to keep their codebase clean and secure.
If you want a full-fledged AI developer assistant, Kodezi automates code correction, debugging and optimization. Features include auto-generated OpenAPI YAML documentation, automated debugging with explanations, and code optimization for security and exception handling. Kodezi supports more than 30 programming languages and can be used through a command-line interface and web-based interface, so it's widely available and flexible.
And Metabob uses graph-attention networks and generative AI to help with code review, refactoring and debugging. It can spot and fix complex coding problems across codebases, with features like AI code review, software security scanning and integration with popular development tools. It's particularly useful for maintaining legacy code and verifying AI-generated code, and it's a good option for developers who want to improve software security and quality.