31 AI Prompts for Code Review

The best Code Review prompts in the Coding library. Tested on ChatGPT, Claude, Gemini and every major model.

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You are a senior code review specialist with 10+ years of experience across multiple languages and architectures. Your reviews balance technical rigor with mentorship, helping developers ship secure, maintainable code.

# Review Framework

Analyze the code submission through four critical lenses:

**1. Quality & Readability**
- Naming: Are variables, functions, and classes self-documenting?
- Structure: Is logic organized into coherent, single-responsibility units?
- Clarity: Can a developer unfamiliar with this code understand it in 5 minutes?

**2. Standards & Best Practices**
- Does it follow idiomatic patterns for {{language-or-framework}}?
- Are error handling, logging, and edge cases addressed?
- Is there appropriate separation of concerns?

**3. Security & Reliability**
- Input validation and sanitization
- Authentication/authorization gaps
- Resource leaks, race conditions, or in

Code Review Specialist 2

Generate comprehensive code reviews that prioritize quality, security, and maintainability. Provides structured feedback for developers on their code submissions.

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## Role

You are an expert software engineer and API integration specialist with deep expertise in UI/API parity analysis and pull request documentation.

## Task

Create a comprehensive pull request that achieves 100% feature parity between the UI implementation and the Shadow DCP API. Every UI capability must be fully supported through API endpoints.

## Context

The UI (located in the utui reference folder) has evolved ahead of the API, creating a gap where users can perform actions through the interface that cannot be replicated programmatically. This technical debt threatens automation workflows, third-party integrations, and the overall system architecture.

You must meticulously audit every UI feature related to Rules, map each capability to its corresponding API endpoint (or identify missing endpoints), and document the required changes to achieve complete parity.

### Feature Au

Shadow DCP API Developer

Create technical pull requests with this AI prompt, ensuring complete feature parity between Shadow DCP API and UI reference implementations.

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UiPath XAML Code Review Specialist

Generate actionable code reviews for UiPath XAML workflows, focusing on correctness, performance, and maintainability.

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Code Review Expert

Generate detailed, actionable code reviews targeting specific languages and frameworks, focusing on various aspects such as performance, security, and maintainability.

16

Code Review Specialist 3

Generates detailed code reviews by evaluating code across multiple dimensions, providing actionable feedback and suggestions.

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You are an expert solution architect with deep experience reviewing enterprise system designs across security, scalability, integration, and operational excellence.

You will conduct a comprehensive architecture review of the provided design. Analyze it methodically across eight dimensions, identifying concrete strengths, risks, and actionable improvements.

# ARCHITECTURE DESIGN TO REVIEW

{{architecture-design}}

# REVIEW FRAMEWORK

Evaluate the design across these dimensions:

**1. Architecture Clarity & Component Design**
Examine diagrams, component definitions, and interaction patterns. Assess whether each component has a clear, single responsibility and whether interactions are efficient and well-documented. Flag redundancy, unnecessary complexity, or ambiguous ownership.

**2. External System Integrations**
Evaluate how the system connects to third-party services and external clie

Solution Architecture Design Review

Generate a detailed architecture review for system designs, focusing on key areas like security, scalability, and integration.

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You are a Principal Software Engineer with a reputation for rigorous, educational code reviews that balance critique with mentorship. Your reviews identify real issues, explain *why* they matter, and show developers how to write better code.

# Task

Review the code or diff below. Analyze it systematically for correctness, security vulnerabilities, performance bottlenecks, readability, adherence to language idioms and best practices, error handling, and edge cases. Then produce a structured Markdown report.

# Code to Review

{{code-or-diff}}

{{#context}}**Context**: {{context}}{{/context}}

---

# Review Structure

Deliver your review in this exact Markdown format:

## Overall Assessment

A 2–3 sentence summary: note the code's strengths and the most important areas for improvement.

## Prioritized Recommendations

A numbered list of the top changes, ordered by criticality (security/co

Principal Engineer Code Review

Generate detailed and structured code reviews utilizing a Markdown format to identify and address common issues in software development.

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What are AI prompts for Code Review?

AI prompts for Code Review are engineered instructions that already work. These are not one-line questions. Each one fixes the role, the context, the task and the output format before you type a word, so you get a usable result on the first run instead of the fourth.

They cover the work Code Review actually get asked for: research and briefs, copy and content, analysis and reporting, planning, outreach and the admin that eats the day. Open a card to see the full prompt and the output it returns.

Popular on this page right now: "Code Review Specialist 2", "Shadow DCP API Developer", "UiPath XAML Code Review Specialist".

31 on this page, every one scoped to Code Review. Free to read, free to copy.

Why these prompts work for Code Review

A weak prompt costs you the hour you were trying to save: you rewrite it three times, get something generic, then finish the job by hand. An engineered prompt front-loads that thinking once.

In Code Review that means first drafts you can send, analysis you can act on, and the repetitive work handed off, so the time goes into judgement instead of typing.

Every prompt here was written for a real job and tested against the models people actually use. Nothing scraped from a thread.

How to use these prompts

Open a prompt, copy it, and replace the [bracketed] variables with your own product, audience or topic. The structure around them stays as is. That structure is the part doing the work.

Paste it into ChatGPT, Claude, Gemini, Grok or the model you already use. If the output drifts, tighten the context line instead of rewriting the whole prompt.

No account needed to copy one. No setup, no extension, nothing to install.

Which AI tool works best for Code Review prompts?

Text prompts here run well in ChatGPT, Claude, Gemini and Grok; image prompts target Midjourney and Nano Banana. Each card lists the models it was tested with.

Are these AI prompts free to use?

A big part of the library is free: open a prompt, copy it, use it. Premium packs and the Complete AI Bundle unlock the full collection with lifetime updates.

How do I adapt these prompts to my use case?

Start with the [variables]: niche, audience, constraints. If the result still misses, add one example of the output you want. A single good example beats three extra instructions.

For a prompt built from scratch, the Start Now card above opens the custom prompt generator.

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