Prompt Engineering

Understand Business Logic — Code Rules in Business Terms

The discount rules live in code; the questions come from sales. This prompt explains implemented business logic to a technical manager — behavior and risk, minimal code.

Open in Code Explanation Prompt

Overview

Some explanations are not for the people who will edit the code — they are for the people who own the rules the code implements. This prompt pairs the function-walkthrough mode with the technical-manager audience: technically literate, not working in this code. The contract explains in terms of behavior, responsibilities, risks, and effort — not implementation mechanics — keeps code references minimal, and translates any cited code into a business statement. A quick-summary depth keeps it to what a decision-maker absorbs in two minutes: what the rules actually are, where they surprise, and which tradeoffs matter.

How to use this resource

Declare the real audience

Technically literate, not in this code — the assumptions change everything downstream.
Translate code to statements

Every cited condition becomes a business sentence: who qualifies, when, and why not.
Keep it two minutes deep

The rules, the surprises, and the risks — the quick-summary depth cuts everything else.

Why This Works

Business-statement translation answers the question stakeholders actually asked
Minimal-code discipline keeps the explanation readable outside engineering
Surprises-first ordering surfaces exactly the rule mismatches that caused the question

Best for

Logic that gets questioned by non-engineers
Pricing, eligibility, and policy code
Bridging the engineering-business explanation gap

Not for

Changing the rules once understood — that's the Refactor Prompt Builder (or a feature change)
Extracting the rule values into structured data — that's the Extraction Prompt Generator

Use cases

Answering "why doesn't this customer get the discount?" from the code
Explaining implemented rules to product and sales stakeholders
Checking whether the code's rules match the business's belief about them

FAQ

How do I explain code discount rules to a non-developer manager

The AUDIENCE PROFILE fixes the reader as a technical manager and instructs the explanation to stay in behavior, responsibilities, and risks, keeping code references minimal and translating any cited condition into a business statement. Code Explanation Prompt outputs that prompt; you run it in your own assistant, and it explains rather than judges.

Will this prompt tell me the code is buggy or suggest a fix

It won't. The NON-GOALS bar reviewing code quality, debugging failures, and refactoring; anything that looks defective is noted as a question for the team, out of scope. The ASSUMPTIONS section also forces intent to be labeled INFERENCE and uses "cannot be determined from this code" rather than filling gaps with a plausible story.

How long is the explanation this prompt produces

Short by design. The depth is set to quick summary, calibrated to a few paragraphs a reader absorbs in two minutes, covering only the purpose, the main flow, and the one or two things most likely to surprise. Implementation detail is skipped unless omitting it would mislead, keeping the output readable outside engineering.

Customize This Resource

Opens this setup in Code Explanation Prompt. Generate to get the full understanding contract — then adjust the mode, audience, and depth.

Open in Code Explanation Prompt

Prompt Template

Copy it as-is, or use Open in Code Explanation Prompt to load it pre-filled and customize it with your own context.

EXPLANATION OBJECTIVE
Explain the discount eligibility rules implemented in this code, in business terms.
Explanation mode: function walkthrough — inputs, outputs, execution flow, decisions, and side effects.
The goal is understanding, not judgment: explain what this code does and why it is built this way — and clearly separate what the code shows from what you infer.

CODE CONTEXT
System context: Pricing engine; sales keeps asking engineering why certain customers do not get the loyalty discount.
Code to explain:
```
[Paste the code to explain here]
```

AUDIENCE PROFILE
Audience: a technical manager — technically literate, but not working in this code.
- Assume: comfort with technical concepts; no fluency in this language or codebase.
- Explain in terms of behavior, responsibilities, risks, and effort — not implementation mechanics.
- Keep code references minimal; where code must be cited, translate it into a business statement.

EXPLANATION STRATEGY
1. State the contract first: inputs with their expected shapes, outputs with their meaning, errors with their triggers.
2. Walk the execution flow in order, pausing at every decision point to explain both branches.
3. Surface every side effect — writes, calls to other systems, mutations of shared state — and when each happens.
4. Distinguish the happy path from the edge paths; name the conditions that route execution off the happy path.
- Depth: quick summary — the explanation must fit in a few paragraphs a reader absorbs in two minutes.
- Cover the purpose, the main flow, and the one or two things most likely to surprise — nothing else.
- Skip implementation detail unless omitting it would mislead.

KEY CONCEPTS
- Explain each non-obvious variable, structure, and helper the walkthrough touches — what it holds and why it exists.
- Order concepts by how load-bearing they are for understanding this code — not by where they appear in the file.

EXECUTION FLOW
- Present the flow as a numbered sequence; at each branch, state the condition in plain language and what each outcome means.
- Where the flow depends on state or configuration, say which, and what each setting changes.

DESIGN DECISIONS
- Where the implementation makes a visible choice — an early return, a special case, a particular ordering — explain what the choice achieves.
- Discuss only decisions actually visible in the code; rationale you cannot evidence belongs under ASSUMPTIONS, labeled as inference.

ASSUMPTIONS
- Separate what the code DOES (verifiable from the source) from why it might be that way (inference).
- Label every statement about intent, history, or rationale as an INFERENCE unless the code itself evidences it — a comment, a test, a telling name.
- Where behavior cannot be determined from the provided code, say "cannot be determined from this code" — never fill the gap with a plausible story.

TRADEOFFS
- Note only the tradeoffs that materially affect how this code is used or changed.

LEARNING NOTES
- End with the contract restated in two sentences: what you give it, what you get back, and what else changes.

NON-GOALS
- Do not review code quality — no findings, no severities, no verdicts.
- Do not debug failures — explain the behavior that exists without diagnosing it.
- Do not refactor the code or propose rewrites.
- Do not generate tests.
- Do not invent requirements or unstated intentions.
- If something looks defective, note it as a question for the team — investigating or fixing it is out of scope.
- Clearly separate facts from assumptions throughout.

OUTPUT REQUIREMENTS
- Structure the explanation with headings that mirror the sections above — a reader should be able to navigate it without reading all of it.
- Anchor every claim about behavior in the code: name the function, branch, or line it comes from when precision matters.
- Calibrate every section to the stated audience — too basic wastes their time, too advanced loses them.
- End with the open questions: what could not be determined from the provided code, and who or what could answer it.

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Make AI Explain Unfamiliar Code Before You Change It

Type "refactor this" on code you don't fully understand and the AI — which understands it no better — rewrites a load-bearing line. Here's how to run an explanation pass first: what the code does, what it assumes, and which lines are risky to touch, before you change anything.

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