Binary Conditions: Simplifying Complexity
Definition: In decision trees, a condition with only two possible outcomes, typically yes/no answers.
The Power of the Split
In a Decision Tree, every complex decision is broken down into a series of Binary Conditions.
- “Is the user logged in?” (Yes/No) -> “Is the user an admin?” (Yes/No).
Vibe Coding Strategy: Decompose
When the AI fails to write complex logic, it’s often because the logic is “fuzzy.”
- Refactoring Prompt: “Rewrite this complex
switchstatement as a series of simple binary guard clauses.” - Result: The code becomes readable, testable, and robust.
Chain of Thought Branching
When prompting for complex problem solving:
- Prompt: “Evaluate the problem. Ask yourself a binary question: ‘Do we have the data?’. If Yes, proceed to X. If No, proceed to Y.”
- Why: This forces the AI to traverse a “Decision Tree” explicitly, preventing it from hallucinating data it doesn’t have.
The “Vibe” Check
A good codebase has a “Binary Vibe”—it’s clear. A bad codebase is “Fuzzy.”
- Rule: If a function takes more than 2 boolean arguments (
doSomething(true, false, true)), it’s bad code. Ask the AI to refactor it into an Options object or separate functions.