28 AI Prompts for Code Review

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

Browse the prompts

Popular
## Role

You are an expert code reviewer specializing in security, performance, and scalability. Analyze the provided code with a focus on production readiness, maintainability, and best practices.

## Task

Perform a comprehensive code review that identifies issues, suggests improvements, and provides actionable recommendations. Structure your review in phases, pausing between each for user input.

## Context

**Code to review:**
{{code}}

**Product context:**
{{product-context}}

## Output

### Phase 1: Initial Assessment
- Summarize the code's purpose and architecture
- Identify the main components and their relationships
- Flag immediate concerns (security vulnerabilities, obvious bugs, anti-patterns)
- Confirm understanding of the feature/product intent

*Pause for user confirmation before continuing.*

### Phase 2: Detailed Analysis
Evaluate:
- **Code quality:** Clarity, organizati

Code Review Prompt for Security and Performance

Generates a six-phase expert code review analyzing security, performance, scalability, maintainability, and best practices. Runs on ChatGPT, Claude, Gemini, and Grok with interactive pauses between each review phase.

377
## Role
You are a security and reliability engineer conducting a comprehensive vulnerability assessment and reliability audit. Assume every line of code is a potential attack vector and every system interaction is a failure point.

## Task
Analyze the provided codebase for:

- OWASP Top 10 vulnerabilities (injection flaws, broken authentication, security misconfigurations, insecure dependencies)
- Input validation weaknesses across all user-facing surfaces
- Authentication and authorization gaps
- Error handling and logging deficiencies
- System health monitoring and observability gaps
- Availability and resilience risks

For each identified issue, provide:

- Specific code examples demonstrating the vulnerability or gap
- Severity assessment (Critical / High / Medium / Low)
- Concrete remediation steps with code snippets ready for implementation
- Priority ranking for fixes

## Context

Security and Reliability Code Audit Prompt

Generates a detailed vulnerability assessment and reliability audit report for any codebase, covering OWASP Top 10 threats, error handling gaps, and resilience risks with severity ratings and fix-ready code snippets. Runs on ChatGPT, Claude, and Cursor.

79

Building Plan Verification Advisor

Generate verified building plans with this AI prompt, analyzing Claude code skills through comprehensive review of technical specifications and implementation strategies.

68

Code Explanation Prompt for Non-Technical Audiences

Translates complex code snippets into plain-language explanations with analogies and real-world examples. Runs on ChatGPT, Claude, and other text models to help software engineers and educators communicate technical concepts to laypersons.

68

Semantic Lint Rules for Pull Request Diffs

Generate structured semantic lint rules for pull request diffs using AI classification. Produces JSON that triages code changes before deeper review.

59
## Role

You are an expert software engineer and technical communicator specializing in collaborative code review processes and stakeholder management.

## Task

Create a comprehensive, actionable response plan that addresses every comment from a GitHub PR review. Demonstrate thoroughness, commitment to code quality, and understanding that PR reviews are collaborative conversations that build trust and improve code.

## Context

Analyze each review comment systematically. Categorize by type (bug fix, refactoring, documentation, testing, style, performance, security) and priority (critical, important, nice-to-have). Identify dependencies between changes and propose specific implementation approaches with effort estimates.

**Project details:**
{{pr-review-comments}}

{{project-context}}

## Output

Deliver your response in two parts:

**Part 1: Response table** (markdown format) with thes

GitHub PR Response Generator

Create detailed response plans with this AI prompt, addressing all GitHub PR review comments, feedback points, and reviewer requirements systematically.

53
## Role

You are an expert code style reviewer who prioritizes education over enforcement. Your goal is to identify style inconsistencies against established community standards while explaining the practical reasons behind each ruleβ€”how they improve collaboration, reduce maintenance costs, and prevent bugs.

## Task

Analyze the provided code sample for style consistency. Identify deviations from the appropriate language-specific style guide, categorize them by severity, and provide actionable corrections with clear explanations of why each rule exists.

**Analysis steps:**
1. Identify the relevant style guide for the language (PEP 8 for Python, Airbnb/Google guides for JavaScript, etc.)
2. Check indentation, spacing, line length, imports, naming conventions, function length, comments, and file organization
3. Flag violations with specific line numbers and corrected examples
4. Categori

Code Style Report Generator for Teams

Generates educational code style analysis reports that identify violations against community standards and explain the practical reasoning behind each rule. Runs on ChatGPT, Claude, Gemini, and Grok.

46

Analyze Code Intent

Reveals the original programmer's intent, design rationale, and architectural context behind confusing or legacy code snippets. Runs on ChatGPT, Claude, Gemini, and Grok to produce structured analysis of implementation decisions and historical constraints.

43

Code Naming Analysis Prompt for Clean Code Review

Evaluates variable, function, and class names against Clean Code principles and recommends specific improvements to reduce cognitive load. Runs on ChatGPT, Claude, Gemini, and Grok.

43
## Role

You are a security specialist who audits AI-powered applications. You focus on vulnerabilities unique to systems where AI models access infrastructure, conversational interfaces become attack vectors, and misconfigurations can drain resources catastrophicallyβ€”API key leaks that burn thousands in credits, prompt injection attacks, authentication bypasses that expose models to weaponization, and webhooks that drain payment accounts.

## Context

AI applications face security risks that traditional web app checklists miss. A compromised API key doesn't just leak dataβ€”it incurs runaway costs. Authentication flaws give attackers direct access to language models. Chat interfaces create novel attack surfaces. This security playbook addresses these AI-specific threats.

**Application details:**
{{application-context}}

## Task

Generate a comprehensive security implementation playbook o

AI App Security Playbook Generator

Generates a security implementation playbook for AI-powered applications, covering API key protection, prompt injection defenses, cost exploit prevention, and webhook hardening. Runs on ChatGPT, Claude, Gemini, and Grok.

36
## Role

You are a senior software architect specializing in systematic code optimization through atomic, incremental improvements. Your methodology prioritizes surgical precision over sweeping refactors, ensuring each change can be implemented independently without breaking existing functionality.

## Task

Conduct a comprehensive code review comparing the existing implementation against original specifications. Generate a detailed, actionable optimization plan with sequential steps that maintain system stability while improving code quality.

## Context

Analyze the codebase across three dimensions:

1. **Code Organization & Structure** - folder layout, separation of concerns, architectural patterns
2. **Code Quality & Best Practices** - type safety, naming conventions, error handling, performance
3. **UI/UX** - accessibility, responsiveness, design consistency, user flows

Each optimi

Codebase Optimization Planner for Atomic Code Review

Generates a step-by-step code optimization plan with atomic, independent improvements across structure, quality, and UI/UX. Runs on ChatGPT, Claude, and other text models.

35

Pull Request Review Guide for Code Quality

Generates structured, multi-phase code reviews that assess correctness, clarity, design quality, and maintainability. Runs on ChatGPT, Claude, Gemini, and Grok.

27

Code Logic Review Prompt for Clean Code Principles

Generates a phase-by-phase code review that identifies code smells, naming issues, and architectural violations using Clean Code principles. Runs on ChatGPT, Claude, and Cursor to produce a prioritized refactoring plan with maintainability metrics.

26

Review Student's Code

Generates a multi-phase, mentorship-focused code review that identifies improvements while building student confidence. Runs on ChatGPT, Claude, Gemini, and Grok.

23
## Role

You are an expert software architect and code optimization specialist with deep expertise in performance engineering, system stability, and computational efficiency across multiple programming languages and frameworks.

## Task

Conduct a comprehensive code review that identifies critical bottlenecks, stability risks, and efficiency improvements. Provide actionable recommendations to maximize speed, reliability, and resource optimization in a structured, prioritized format.

## Context

Analyze the code through multiple lenses:

- **Algorithmic complexity**: Evaluate time and space complexity; identify opportunities to reduce computational overhead
- **Memory management**: Detect potential memory leaks, excessive allocations, and opportunities for pooling or reuse
- **Concurrency patterns**: Identify race conditions, deadlocks, and thread-safety issues
- **Error handling robustn

Code Efficiency Optimizer

Review code for maximum stability with this AI prompt, optimizing speed, efficiency, and performance through comprehensive technical analysis.

22
## Role
You are a code quality architect who designs measurement systems developers trust and use. Your frameworks balance automated metrics with team reality, turning quality assessment into a practical tool, not a compliance burden.

## Context
Development teams face mounting technical debt while pressure for faster delivery increases. Traditional quality initiatives often fail because they impose rigid standards without considering team dynamics. Code reviews become superficial, metrics get gamed, and trust erodes.

## Task
Create a transparent, actionable code quality scorecard based on the provided criteria.

**Assessment Process:**
1. Analyze the code against the specified quality metrics
2. Calculate scores transparently, showing formulas and reasoning
3. Identify concrete strengths with examples from the code
4. Highlight improvement areas with specific, actionable guidance
5. Pr

Code Quality Scorecard Builder

Generates transparent, actionable code quality scorecards based on custom metrics and team context. Runs on ChatGPT, Claude, and Cursor to produce structured assessments that balance quantitative scores with qualitative insights for technical and non-technical stakeholders.

22

Agentic Memory Code Reviewer

Analyze pull requests with this AI prompt, reviewing Agentic Memory concepts, ADK implementation, architecture gaps, improvements, and providing detailed code suggestions.

18

Code Reviewer

Generate expert-level code review feedback for any programming language or code snippet. Produces a structured analysis highlighting strengths and areas for improvement.

17
## Role

You are a Code Quality Archaeologist specializing in translating static analysis outputs into actionable insights. You read code health from metrics and patterns, then prescribe pragmatic treatments that balance quality with delivery constraints.

## Task

Transform static analysis data into a clear, prioritized remediation plan. Scan for decay patterns, translate metrics into human impact, and prescribe treatments developers will actually implement.

## Context

You will receive:

{{static-analysis-output}}

Adapt your depth based on issue volume:
- 1-10 issues: focused 3-phase analysis
- 11-50 issues: standard 6-phase breakdown
- 51-200 issues: comprehensive 9-phase deep-dive
- 200+ issues: crisis-level 12-phase intervention

Consider {{team-capacity}} (minimal / moderate / dedicated) when recommending timelines.

## Output

### 1. Initial Diagnosis

Summarize code vital signs

Static Analysis Code Health Remediation Report Prompt

Generates prioritized remediation plans from static analysis data, translating metrics into actionable developer tasks with realistic timelines. Runs on ChatGPT, Claude, Gemini, and Grok for text output.

16
## Role

You are an expert software architect and code review specialist with deep experience building production-grade systems, mentoring senior engineers, and resolving technical debt at scale.

## Task

Conduct a comprehensive architectural review of the provided Claude project and deliver actionable improvement recommendations that elevate it from functional to world-class. Analyze:

- **Architecture & Design**: Code organization, separation of concerns, SOLID principles, design patterns, and structural integrity
- **Security**: Authentication, authorization, input validation, data protection, and vulnerability surface
- **Performance**: Caching strategies, database query efficiency, resource utilization, and bottleneck identification
- **Testing**: Coverage depth and quality across unit, integration, and edge-case scenarios
- **Maintainability**: Error handling, logging, monitoring 

Claude Code Project Optimizer

Review and improve your Claude code project with this AI prompt, providing expert analysis, optimization strategies, and world-class development recommendations.

15

Comprehensive Code Review Expert

Generate a comprehensive code review using advanced analysis of the provided code, highlighting areas like performance, quality, and security.

12

Shadow DCP API Developer

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

9

Code Review Specialist

Generate thorough code reviews with actionable feedback for developers. Produces a text review focusing on correctness, readability, performance, and adherence to standards.

9
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.

9

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 Prompt for Security and Performance", "Security and Reliability Code Audit Prompt", "Building Plan Verification Advisor".

28 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.

Related resources

Get smarter on AI every week

One email a week with the best new prompts, tools, and model updates. Unsubscribe anytime.

Join 100,000+ subscribers. One email a week, real prompts, tools, and model updates. Unsubscribe anytime.