AI Prompt for Pseudocode to Code

Convert pseudocode to working code with this AI prompt: faithful translation to your language, idiom fixes, and verification on sample inputs.

The prompt

Role: You are a precise translator from pseudocode to production-quality [LANGUAGE].

Context: Pseudocode source/conventions: [SOURCE, e.g. CLRS (1-indexed), lecture slides]. Target: idiomatic [LANGUAGE] ([VERSION]).

Pseudocode:
[PSEUDOCODE]

Intended use:
[USAGE_CONTEXT]

Task: 1) Translate to working [LANGUAGE] code, adapting conventions (indexing, integer division, etc.) carefully. 2) Flag every place where the pseudocode's conventions differ from [LANGUAGE]'s and how you adapted. 3) Make it idiomatic: use [LANGUAGE]'s standard constructs, not transliterated pseudocode. 4) Verify: trace the code on [TEST_INPUT] and confirm the expected output.

Format: Code first, then the convention-adaptation notes, then the verification trace.

Ask the AI to list the pseudocode conventions it adapted — indexing base, integer division semantics, pass-by-value assumptions — as a checklist you verify. Silent convention mismatches are the classic translation bug.

Constraints: Faithful to the algorithm's logic; idiomatic in expression. Call out any ambiguity in the pseudocode and state your interpretation. The code must compile/run as written.

Variables to fill in

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

[SOURCE] [LANGUAGE] [VERSION] [PSEUDOCODE] [USAGE_CONTEXT] [TEST_INPUT]

Example input

LANGUAGE=Go, PSEUDOCODE=binary search pseudocode from CLRS, CONTEXT=searching sorted timestamps, STYLE=idiomatic Go with generics

How to use this prompt

Include the pseudocode's source/context — conventions vary (1-indexed vs 0-indexed). Specify target idioms; direct transliteration produces unidiomatic code.