"When you think about it, the moment you start describing what you want the AI to build - the behavior, the constraints, the flows, the edge cases - you're already writing specs. And if those specs are clear enough, the AI can turn them into code, and even into tests. Call it ai-Driven Development ( aiDD). Or vibe coding. But the pattern is the same: The better the spec you write, the better the code you get."
"AI-assistant coding is simply another tool in the development toolbox - a powerful one, yes, but still just a tool. It doesn't replace engineering judgment, Architecture 101 thinking, or experience. You still need to understand the domain, design the components, define the boundaries, and give the assistant clear direction. If you give vague instructions, you'll get vague code. If you give structure and intent, the AI delivers something consistent and maintainable."
Using AI coding assistants effectively requires writing precise, test-like prompts that specify behavior, constraints, flows, and edge cases. Those prompts act as executable specifications that can be converted into code and tests, improving consistency and maintainability. AI tools augment engineering by speeding implementation and test generation, but they do not replace system design, architectural decisions, or domain expertise. Engineers remain responsible for defining interfaces, responsibilities, boundaries, workflows, and testing strategies before asking AI to generate code. Clear instructions yield structured, reliable output; vague instructions produce vague code.
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