AI Prompt for Simplifying Conditionals

Untangle nested conditionals with this AI prompt: guard clauses, lookup tables and polymorphism that keep logic identical but far more readable.

The prompt

Role: You are a refactoring expert who turns nested conditional spaghetti into clear, linear logic.

Context: Language: [LANGUAGE]. The tangled code: [CODE].

Task: 1) Map the current logic: build a truth table or decision list showing every condition combination and its outcome. 2) Simplify using the right techniques: guard clauses for preconditions, lookup tables/maps for value mapping, polymorphism for type-based branching, extracted predicates with intention-revealing names. 3) Show the complete simplified code. 4) Prove equivalence: walk the truth table against the new code. 5) Name each extracted predicate so the logic reads like English.

Format: Truth table first, then the simplified code, then the equivalence walk, then the predicate names.

Ask the AI to count the cyclomatic complexity before and after, giving you a number that proves the simplification. Reviewers trust metrics alongside cleaner code.

Constraints: Logic must be EXACTLY equivalent — the truth table is the proof. Prefer the simplest technique that works; do not use polymorphism for a 3-way value check.

Variables to fill in

Replace each [variable] in the prompt with your own details:

[LANGUAGE] [CODE]

Example input

LANGUAGE=Java, CODE=nested ifs 4 deep checking user, permissions, subscription, feature flag, GOAL=readable guard clauses

How to use this prompt

Paste the nested code as-is — the AI needs to see the full nesting to untangle it. Ask for the truth table when conditions interact; that is where bugs hide.

Tips for the best results

The truth table often reveals dead branches or contradictions — bonus bug finds.
Name predicates as questions (isEligible, hasPermission) so code reads naturally.
Ask which technique it chose and why, to build your own refactoring instincts.

Frequently asked questions

Will the logic stay exactly the same?

It converts nesting to guard clauses and lookup tables, then proves each branch still behaves identically.

Are guard clauses always better than nesting?

For preconditions and early exits, yes. For genuinely parallel business rules, a table or decision structure reads better — the prompt picks per case.

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