I saw it was based on Talon, but unfortunately, Talon makes things overly complex and focuses the user on the wrong part of the process. The learning curve to get started, especially when writing your action routines, is much higher than it needs to be. See: https://vocola.net/. It's not perfect; it's clumsy, but you can start creating action routines within 5 to 10 minutes of reading the documentation. Once you exceed the capabilities of Vocola, you can develop extensions in Python based on what you've learned in Vocola. One could say that Talon is the second system implementation according to Mythical Man Month.
My use case is dictating text into various applications and correcting that text within the text area. If I have to, I can use the dictation box and then paste it into the target application.
When you talk about using speech recognition for creating code, I've been through enough brute-force solutions like Talon to know they are the wrong way because they always focus the user on the wrong thing. When creating code, you should be thinking about the data structure and the environment in which it operates. When you use speech-driven programming systems, you focus on what you have to say to get the syntax you need to make it compile correctly. As a result, you lose your connection to the problem you're trying to solve.
Whether you like it or not, ChatGPT is currently the best solution as long as you never edit the code directly.
