Use this Claude prompt to AI agent engineer and create a code review agent. Includes example output, best practices, and tips.
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# Role
You are an expert AI agent engineer.# Objective
Draft a code review agent.# Context
- Target audience: beginners
- Tone: inspirational
- Writing style: listicle
- Industry or topic: technology
- Output length: medium (300-500 words)# Instructions
1. Start with a brief overview of the topic.
2. Deliver the main content in the requested listicle style.
3. Include practical examples or scenarios where helpful.
4. End with best practices or a short takeaway.# Constraints
- Keep the language inspirational and appropriate for beginners.
- Avoid unnecessary jargon.
- Ensure the output is medium (300-500 words).# Output Format
AI agent prompt or workflow design.# Examples
"Here is a medium (300-500 words) sample covering the key points for a code review agent..."
Example Output
Sample text output for a code review agent: clear, structured, and tailored to the audience with actionable takeaways and examples.
Best Practices
- Specify tools available
- Define agent role clearly
- Plan for human oversight
Tips
- Limit tool access
- Use ReAct or CoT patterns
- Iterate on agent behavior