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AI Code Review

Automated code review with security scanning, best practice checks, and refactoring suggestions.

What is AI Code Review?

AI Code Review is one of 70 specialized agent skills built into the Multos AI platform. When you describe a task related to quality, this skill activates automatically — bringing domain-specific knowledge about code review, automated review, code quality directly into your development workflow.

Performs automated code review: identifies bugs, security issues, performance problems, and style inconsistencies. Suggests refactoring opportunities, checks for proper error handling, and validates architectural patterns. Generates review comments with explanations and fix suggestions.

Key Capabilities

  • Generates complete, working implementations for code review with proper error handling and edge cases
  • Understands best practices and security patterns specific to quality development
  • Provides step-by-step guidance from setup through production deployment
  • Adapts to your existing codebase — works with any framework, language, or architecture
  • Generates tests alongside implementation code to ensure reliability
  • Specialized knowledge of automated review patterns, common pitfalls, and optimization techniques

How to Use AI Code Review on Multos AI

Example Prompts

  • "Review my PR for bugs, security issues, and performance"
  • "Identify code smells and suggest refactoring in my service layer"
  • "Check my database queries for N+1 problems and missing indexes"

Example Output

// Review finding: Race condition in balance update
// BEFORE (vulnerable to double-spend):
const balance = await getBalance(userId);
if (balance >= amount) await deductBalance(userId, amount);

// AFTER (atomic with optimistic locking):
const result = await db.account.updateMany({
  where: { userId, balance: { gte: amount } },
  data: { balance: { decrement: amount } }
});
if (result.count === 0) throw new InsufficientFundsError();

Real-World Use Case

A team used AI Code Review on every PR: caught a race condition in payment processing, identified 3 N+1 queries in a new feature, flagged a missing auth check on an admin endpoint, and suggested extracting duplicated validation into a shared middleware.

Frequently Asked Questions

What is the AI Code Review skill in Multos AI?

The AI Code Review skill is a specialized AI capability within Multos AI that automated code review with security scanning, best practice checks, and refactoring suggestions. It activates automatically when your prompt relates to quality tasks, providing expert-level guidance and production-ready code.

Do I need to configure AI Code Review manually?

No. Multos AI uses intent detection to activate the AI Code Review skill automatically when your request involves code review. There's no setup, no plugins to install, and no configuration files to manage.

Which AI models work best with AI Code Review?

All 33 models on Multos AI can leverage the AI Code Review skill. For complex quality tasks, we recommend models with larger context windows like Claude Opus 4.6 (1M tokens) or Gemini 3.1 Pro (1M tokens). For quick iterations, faster models like GPT-5.4 Mini or Claude Haiku 4.5 work well.

Can I use AI Code Review with my existing project?

Yes. You can connect your GitHub, GitLab, or Bitbucket repository to Multos AI and the AI Code Review skill will work with your existing codebase. It understands your project structure, dependencies, and coding patterns to provide contextual assistance.

Is AI Code Review available on the free plan?

Yes, all 70 agent skills including AI Code Review are available on every plan. Free users get access to lite-tier models, while paid plans unlock more powerful models for complex quality tasks.

Works Great With

Related Quality Skills

Build with AI Code Review on Multos AI

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