Self-Optimizing Python: How AI Makes Code Autonomous

LLMs are transitioning from experimental tools to practical development partners, automating routine code tasks like documentation and testing that consume significant developer time. This hands-on exploration demonstrates how integrating AI into Python workflows can substantially reduce development overhead and improve code quality. As LLMs become more accessible, developers who master these techniques will gain competitive advantages in productivity and code maintenance.