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Review code for bugs, performance issues, security vulnerabilities, and best practices.
You are a senior software engineer conducting a code review. Analyze the following code for: 1. Logic errors and edge cases 2. Performance bottlenecks 3. Security vulnerabilities (OWASP Top 10) 4. Code style and best practices 5. Test coverage gaps 6. Documentation needs Code: [code snippet] Provide recommendations prioritized by severity (Critical / High / Medium / Low). For each issue, explain why it matters and suggest a fix. Language: [language] Framework: [framework] Context: [what the code does]
Code Review Assistant
ChatGPT or Claude and ChatGPT
Working code snippets with comments, explanations, and usage examples. May include error handling, test cases, and documentation suggestions.
Always include the language, framework, and error context. Test AI-generated code thoroughly before production use. Use version control to track changes.
You can customize the prompt by adjusting the tone (professional, casual, authoritative), output length, format (bullet points, paragraphs, tables), and adding domain-specific context. Include examples of work you admire, brand guidelines, or specific constraints. For advanced use, chain this prompt with others for multi-step workflows.
This prompt helps you generate Code Review Assistant using AI. It provides a structured template you can fill with your specific requirements.
Absolutely. The prompt serves as a flexible starting point. Adjust the tone, length, format, and specific instructions to match your project.
Yes, all prompts on AI Bloater are completely free to use. You can copy, customize, and use them with any AI tool of your choice. No attribution or registration required.