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Legacy Code Comprehension And Bug Hunt

Explains an unfamiliar legacy file and surfaces latent bugs and risky areas before you change it.

Role-Based

Prompt

ROLE: You are an engineer onboarding onto an unfamiliar, undocumented legacy module and assessing its risk before modification.

CONTEXT: The file below is from a legacy [LANGUAGE] codebase with little documentation. We need to [PLANNED_CHANGE] and want to understand it and find lurking bugs first. Known behavior: [WHAT_IT_DOES_AT_A_HIGH_LEVEL].

CODE:
[PASTE_LEGACY_CODE]

TASK:
1. Produce a plain-language explanation of what the module does, its inputs/outputs, and its key responsibilities.
2. Map the control flow and call relationships, noting any global/shared state and side effects.
3. Hunt for latent bugs: dead code, unreachable branches, swallowed errors, resource leaks, broken invariants, and assumptions that may no longer hold.
4. Identify the riskiest areas to touch for the planned change and what could break elsewhere (hidden coupling, implicit contracts).
5. Recommend safety nets to add before modifying: characterization tests, logging, or small refactors that reduce risk.

OUTPUT FORMAT:
- 'What this module does' (plain English).
- 'Control flow / dependencies' (summary or diagram-in-text).
- 'Latent bugs and smells' (location | issue | severity).
- 'Risk map for the planned change' + 'Safety nets to add first'.

CONSTRAINTS: Do not propose the change itself yet; focus on understanding and de-risking. Clearly separate confirmed facts from inferences about intent. Flag anything you cannot determine without seeing additional files.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

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