Programming with AI has completely changed the way we think about software development. What once felt like a purely technical and often tedious process has now become not only faster but surprisingly enjoyable. Working with AI tools in coding feels like collaborating with an incredibly capable partner one that accelerates learning, boosts productivity, and reshapes the creative flow of building software. The typical workflow looks something like this: Generate Code – Use AI to draft initial code structures and functions. Read & Understand – Carefully study the generated output to ensure comprehension and accuracy. Manual Refinement – Make small but meaningful adjustments, often with the assistance of intelligent autocomplete features. Test & Debug – Validate the functionality, identify bugs, and refine the implementation. Prompt for Larger Changes – When major shifts are needed, craft new prompts to restructure or extend the codebase. Repeat the Cycle – ...