If you're looking for a Please Don't Code alternative, Kodezi is another good option. It's an AI developer tool assistant that can help with code completion, debugging and optimization. It can generate OpenAPI YAML documentation, debug code automatically and optimize code for performance. Kodezi can help developers work more efficiently and maintain a professional coding style. It supports more than 30 programming languages and can be used through a web interface or command-line interface. It offers a free plan with a 7-day trial and a Pro plan for $6.99 per month.
Another option is Bito. It's an AI-powered suite of coding tools that can help developers work more efficiently with tools like AI code reviews, chat help, code completions and automations. The AI Code Review Agent can review code in depth to check for security, scalability and performance issues, and integrates with GitHub and GitLab. Bito offers a free plan with limited features and 20 AI requests per day, and a 10X Developer Plan for $15 per user per month with unlimited usage and more features. It integrates with popular IDEs and supports multiple programming languages, so it's a good option for developers.
Code Snippets AI is another option. It uses multiple AI models to generate code in a chat interface. You can use it to create code, documentation, refactor code and debug. It supports a range of programming languages. It offers a free desktop app with open-source models, as well as Pro and Teams plans with more advanced features. The system is designed to help developers work faster and collaborate better, and the company has a roadmap that includes support for other IDEs.
If you're looking for a more specialized code generation tool, SourceAI is an option. It can generate code based on human language prompts in a range of programming languages, including Python, Java and SQL. The interface is designed to be easy to use for people who aren't developers, but it can also help developers by simplifying code, finding and fixing bugs and debugging code. It can be used for practical tasks like generating code for complex mathematical calculations and creating README files, so it's a good option for both development and debugging tasks.