As autonomous IDEs become more powerful, ethical concerns surrounding AI-generated code become paramount. This article would delve into issues such as potential biases in the generated code (reflecting biases in the training data or the prompts themselves), intellectual property rights (who owns the code generated by AI?), and the displacement of human developers. It would explore methods for mitigating these risks, such as incorporating fairness and transparency metrics into the IDE, establishing clear ownership guidelines, and focusing on augmenting rather than replacing human developers. Furthermore, the article could examine the environmental impact of training and running large language models used in these IDEs, and propose strategies for more sustainable AI development practices. Addressing these ethical dimensions is crucial for responsible adoption of autonomous coding technologies