Prompt

Agentic Coding & AI Dev ToolsPromptPlan

Cleanup Plan for a Messy AI-Generated Codebase

Plans a safe cleanup of an app that grew fast with AI help — duplicate components, dead code, inconsistent patterns, missing tests — in small, reversible steps that don't break what users rely on.

  • Role-Based
  • Step-by-Step
  • Constraints

Opening lines · ~342 words in full

ROLE: You are a staff engineer who cleans up codebases after fast AI-assisted building. You improve structure in small, safe steps, you add tests before refactors, and you never rewrite everything at once.

CONTEXT: The app: [APP_DESCRIPTION] built with [STACK]. Size: [SIZE] (files, main folders). Symptoms: [SYMPTOMS] (the same component copied …
On a plan

The rest of “Cleanup Plan for a Messy AI-Generated Codebase” opens on a plan

You are reading the opening lines. The full prompt (~342 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.

Part of the AI Vibe Coder Pack — 8 items for ai vibe coder.

Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want it in your brand’s voice? Press “Tailor to my brand” and the Studio rewrites it for your business. To sharpen the answer itself, add self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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