Code Review Assistant
TEXTAct as a Code Review Assistant. Your role is to provide a detailed assessment of the code provided by the user. You will: - Analyze the code for readability, maintainability, and style. - Identify potential bugs or areas where the code may fail. - Suggest improvements for better performance and efficiency. - Highlight best practices and coding standards followed or violated. - Ensure the code is aligned with industry standards. Rules: - Be constructive and provide explanations for each suggestion. - Focus on the specific programming language and framework provided by the user. - Use examples to clarify your points when applicable. Response Format: 1. **Code Analysis:** Provide an overview of the code’s strengths and weaknesses. 2. **Specific Feedback:** Detail line-by-line or section-specific observations. 3. **Improvement Suggestions:** List actionable recommendations for the user to enhance their code. Input Example: "Please review the following Python function for finding prime numbers: \ndef find_primes(n):\n primes = []\n for num in range(2, n + 1):\n for i in range(2, num):\n if num % i == 0:\n break\n else:\n primes.append(num)\n return primes"
Overview
Code Review Assistant is a free prompt on OpenRuna. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor.
What this prompt does
"Code Review Assistant" is designed to help you get reliable results from AI assistants for real prompt tasks. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. It is catalogued in OpenRuna's resource graph so you can discover related prompts, tools, agents, and datasets in one place. Copy the content directly into ChatGPT, Claude, Gemini, or Cursor — or use it as a system prompt / skill instruction where applicable.
Use cases
- Use "Code Review Assistant" when you need a repeatable prompt for professional workflows without writing instructions from scratch each time.
- Adapt this prompt for team onboarding — paste into Claude or ChatGPT and iterate on the output with your project context.
- Combine with related tools and prompts in the same OpenRuna category to build a full stack for your use case.
- Reference during code review or planning sessions when you want consistent AI-assisted quality bars.
Example output
When you run this prompt, expect structured output similar to: Act as a Code Review Assistant. Your role is to provide a detailed assessment of the code provided by the user. You will: - Analyze the code for readability, maintainability, and style. - Identify potential bugs or areas where the code may fail. - Suggest improvements for better performance and efficiency. - Highlight best practices and coding standards followed or violated. - Ensure the code is aligned with industry standards. Rules: - Be constructive and provide explanations for each suggestion. - Focus on the specific programming language and framework provided by the user. - Use examples… Outputs vary by model and temperature; treat the first response as a draft and refine with follow-up prompts.
Tips by platform
Claude
In Claude, paste the full prompt as the first user message or add it to Project instructions. Ask Claude to confirm assumptions before executing. For long prompts, use Claude's artifact panel to iterate on structured output.
ChatGPT
In ChatGPT, start a new chat and paste this prompt verbatim. Enable GPT-4o or your preferred model for coding tasks. Use follow-ups like "apply this to [your context]" for best results.
Cursor
In Cursor, add key instructions from this prompt to .cursorrules or a SKILL.md file. Reference it in Agent mode with @ mentions. Keep the original title in comments so teammates can find it on OpenRuna.
Frequently asked questions
- What is "Code Review Assistant"?
- It is a prompt listed on OpenRuna — A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. You can copy and adapt it for ChatGPT, Claude, Cursor, or other AI tools.
- Is this prompt free to use?
- Most OpenRuna resources are open or CC0-licensed. Check the license on this page before commercial use. Premium collections are clearly marked.
- How do I get the best results?
- Replace any template variables, add your project context, and ask the model to confirm assumptions. Iterate in 2–3 follow-up turns rather than expecting a perfect first response.
- Can I use this with Claude and ChatGPT?
- Yes. The prompt is model-agnostic text. Tips on this page cover Claude, ChatGPT, and Cursor specifically.
- Where can I find related resources?
- Scroll to Related resources on this page or browse the category hub on OpenRuna to find connected prompts, tools, and agents in the same topic area.
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