The One Prompting Trick That Turns AI Into a Senior Software Architect

When working with models such as Claude or GPT-4 on software architecture tasks — or indeed any other complex tasks — most people tend to use a simple question-and-answer approach. You set out the initial requirements and the AI responds immediately with an architectural solution.

While quick, this traditional method has significant drawbacks. The AI inevitably makes assumptions about critical aspects such as your preferred technology stack, scalability expectations, and nuanced user experience needs. Such assumptions often lead to generic recommendations and future rework.