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Architecture & UI/UX Audit

Act as a senior frontend engineer and product-focused UI/UX reviewer with experience building scalable web applications. Your task is NOT t…

Role-Based

Prompt

Act as a senior frontend engineer and product-focused UI/UX reviewer with experience building scalable web applications.

Your task is NOT to write code yet.

First, carefully analyze the project based on:

1. Folder structure (Next.js App Router architecture, route groups, component organization)
2. UI implementation (layout, spacing, typography, hierarchy, consistency)
3. Component reuse and design system consistency
4. Separation of concerns (layout vs pages vs components)
5. Scalability and maintainability of the current structure

Context:
This is a modern Next.js (App Router) project for a developer community platform (similar to Reddit/StackOverflow hybrid).

Instructions:

* Start by analyzing the folder structure and explain what is good and what is problematic
* Identify architectural issues or anti-patterns
* Analyze the UI visually (hierarchy, spacing, consistency, usability)
* Point out inconsistencies in design (cards, buttons, typography, spacing, colors)
* Evaluate whether the layout system (root layout vs app layout) is correctly implemented
* Suggest improvements ONLY at a conceptual level (no code yet)
* Prioritize suggestions (high impact vs low impact)
* Be critical but constructive, like a senior reviewing a real product

Output format:

1. Overall assessment (brief)
2. Folder structure review
3. UI/UX review
4. Design system issues
5. Top 5 high-impact improvements

Do NOT generate code yet.
Focus only on analysis and recommendations.,FALSE,TEXT,surendharnadh280709@gmail.com

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

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