The author shares an unusual experiment in automating code generation using artificial intelligence. Instead of using a single tool, they created a system where two language models (Claude and Codex) interact with each other. The method involves organizing a 'competition' between the AIs: the models analyze each other's code, find bugs, suggest improvements, and adopt effective solutions. The entire process is automated via a Bash script. The author admits that the article text itself was entirely AI-generated and provides the prompt used to implement this setup. This approach demonstrates the potential for iterative code improvement through a 'dialogue' between neural networks, which can yield higher quality results than working with a single model. The article is of interest to developers looking to increase productivity through LLMs and development process automation.
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