The rise of large language models (LLMs) like ChatGPT is transforming software development by serving as powerful AI assistants that can significantly enhance productivity, though the generation of usable code requires strategic prompt engineering. Developers are encouraged to meticulously plan the architecture, schemas, and integrations before prompting the AI to ensure the model has the necessary context. Role-playing scenarios with AI as expert panels and refining prompts iteratively can yield creative solutions and optimize results. Manual code generation offers a means to guide the AI towards producing accurate outputs by inspecting and correcting initial attempts, while automatic code generation can streamline workflows when the AI consistently delivers reliable code. Handling AI-generated hallucinations by providing clear context and integrating tools like LangChain and Streamlit can further automate processes, ultimately aiming to achieve dramatic productivity gains. The fusion of human creativity and AI capabilities is highlighted as essential for realizing the full potential of these technologies, positioning companies to exponentially increase productivity without replacing human developers.