As AI becomes more ingrained in the coding landscapes, ethical considerations come to the forefront. Questions about bias in AI models, transparency in decision-making processes, and the potential impact on employment in the software development industry need careful examination. Ensuring that AI tools are trained on diverse datasets to mitigate bias and promoting transparency in how algorithms make coding suggestions are critical steps. Additionally, there is a need for upskilling and reskilling initiatives to empower developers with the knowledge and skills requires to work alongside AI-technologies effectively. In the era of AI and the Future of coding, where technology is advancing at an unprecedented pace, ethical consideration has emerged as a critical focal point in shaping the trajectory of innovation. As we witness the integration of Artificial Intelligence into the fabric of software development, the ethical dimensions surrounding its applications becomes paramount. The power bestowed upon algorithms and automated system raises profound questions about responsibility, bias, transparency, and the societal impact of AI-Driven coding. Developers find themselves at the crossroads of innovation and ethical stewardship, navigating the delicate balance between technological progress and safe-guarding the well-being of individuals and communities.