#Prompt Engineering

Beyond basic prompting — how to get reliably structured output from LLMs. System/user/assistant role design, few-shot examples, chain-of-thought, JSON mode, function calling, and building type-safe LLM responses with Zod and the AI SDK.

Asking AI to 'make a login page' gives garbage. Structured prompts with context, constraints, and examples produce production-ready code.

When ChatGPT first came out, developers were terrified. 'Coding is dead.' I was scared too. But after integrating LLMs into production for a year, I realized: AI is not a God, but an incredibly smart intern who sometimes hallucinates confidently.

Understanding differences and selection criteria between fine-tuning and prompt engineering for LLM customization