Large Language Models (LLMs) like GPT or Claude do not think, plan, or understand code. They operate based on learned distributions and statistical muscle memory.
LLMs infer intent patterns from prompts through vector proximity in latent space, enabling them to generate code that matches known answers.
Steering the model with smart prompts and prompt engineering provides real-time control over the generated code.
AI won't replace software engineers, but someone who understands AI will take on a more challenging and creative role.