AI has significantly transformed the software development industry by introducing tools such as GitHub Copilot and Replit, which enable developers to collaborate with AI in code generation, leading to faster prototyping and application development. While these tools offer advantages like rapid prototyping and democratization of technical knowledge, they also present challenges such as dependency management issues, potential security vulnerabilities, and the risk of generating outdated or suboptimal code. The interaction between humans and AI in coding environments necessitates a balance where AI aids in efficiency and problem-solving, but human oversight ensures adherence to engineering standards and architectural soundness. This dynamic highlights the ongoing importance of foundational software engineering skills and the need for developers to critically review AI-generated outputs. As AI continues to evolve, the future of software development will rely on the effective collaboration between AI tools and human expertise, emphasizing the need for rigorous code quality and security practices.