There are several tools and technologies that can be used for building an AI-powered auto code generation app. One of the most popular ones is GitHub Copilot, which is driven by the OpenAI Codex language model and is based on open source code from GitHub. It has the ability to suggest and complete lines of code, including entire functions. Another popular tool is Tabnine, which is not an end-to-end code generator but can predict and suggest code snippets to streamline the coding process.
Other notable AI code generators include Codepiecesapp, CodePal, and Buidler. These tools can help automate routine tasks, generate code based on user-defined specifications, and even create entire applications with just a few clicks. Some low-code platforms also use code generation to automatically generate code for building user interfaces or data models based on user-defined specifications.
To build an AI-powered auto code generation app, it is recommended to use a combination of these tools and technologies, depending on the specific requirements of the app. Additionally, it is important to keep in mind that while AI can greatly enhance the coding process, it is not a replacement for human expertise and should be used in conjunction with traditional coding practices.