Smell #1: Ambiguous Goal

Severity: High

Ambiguous Goal: A vague or under-specified prompt that forces the AI assistant to make critical architectural or design decisions without human input.

Symptoms

How to recognize this smell in your workflow:

  • [ ] You prompted something like "build authentication" or "add task filtering."
  • [ ] You cannot explain why a specific implementation approach (e.g., JWT vs. Sessions) was chosen.
  • [ ] The AI made architectural choices (e.g., database schema, state management) that you didn't explicitly request.
  • [ ] Multiple valid interpretations of your prompt were possible, and the AI just "picked one."

Self-Assessment

If you checked 2+ items, you are likely suffering from Ambiguous Goal.

Example

Bad Pattern (Vibe Prompt)

❌ "Add user authentication to my app."

What happens: AI decides to use JWT, stores tokens in localStorage (insecure), implements no token revocation, and uses a weak password hashing algorithm. You now own an authentication system you didn't design and that may not be secure.

Clean Alternative (Clean Prompt)

✅ "I'm implementing JWT authentication with the following requirements:
- Use httpOnly cookies for token storage.
- Implement 24-hour expiry with refresh tokens.
- Use bcrypt with cost 12 for password hashing.
Implement the token generation and validation functions."

What happens: You made the engineering decisions. The AI performed the high-speed implementation of your design.

Debt Impact

This smell contributes to:

| Debt Category | Impact | |---------------|--------| | 🏗️ ARCH | AI creates a "random" architecture that doesn't fit your project's long-term goals. | | 🧠 KNOW | Because you didn't design it, you don't understand it (Comprehension Debt). |

How to Fix

  1. Architecture Audit: Identify the modules where AI made the design decisions.
  2. Document Intent: Retroactively create an ADR (Architectural Decision Record) for those modules.
  3. Refactor for Ownership: Rewrite critical logic to match your intended patterns.

How to Prevent

  • Design Before Prompting: Never type a prompt until you know what the architecture should be.
  • Use the Clean Prompt Template: Always include "Design Decisions" in your prompts (Chapter 13).
  • Request Rationale: Ask the AI to explain why it chose a specific implementation before you accept it.

Related Smells

Book Reference

This smell is the starting point of the disaster in Chapter 1: First Prompt Magic.

  • Part I: How vagueness creates initial debt.
  • Part IV: How to implement Human-Led Design.

Stop abdicating design to machines