A practical, example-driven guide to writing better prompts for large language models. Using a realistic incident scenario, this article shows how clear thinking, audience awareness, and honest constraints lead to dramatically better outputs, and how to collaborate with an LLM when you don't yet know all the answers.
Lessons learned translating a homegrown JavaScript WireGuard key generator into Python - and why understanding data types matters as much as understanding the math.