Developers using AI agents like Cursor are hitting a wall: vague, messy blob-code. Especially in frameworks like LangChain, where sketchy training data can produce long-winded or broken output. The problem? AI generates "just vibes" instead of structure.
The fix: go in with a plan. A spec-driven, context-rich prompting workflow saves time and sanity. Architect with intent. Keep experiments isolated. And treat your AI assistant like a junior dev, correct early, correct often.
