Receiving Code Review

What it does

This skill enables AI agents to actively receive and process code reviews, allowing them to analyze feedback on their implementations and adjust their work accordingly. It facilitates a collaborative loop where the agent can understand critique and refine its output based on reviewer input.

When to use it

• You need an agent to simulate a peer review process by analyzing comments on generated code.
• You want the agent to iterate on a solution after receiving specific constraints or bug reports from a human or another system.
• You are building a workflow where code quality is validated through automated feedback loops before deployment.
• You require the agent to explain how it addressed specific suggestions made during a review session.

Key capabilities

• Accepts and parses structured feedback regarding code logic, style, or security.
• Integrates review comments directly into the agent's context for immediate action.
• Generates revised code blocks that explicitly address identified issues.
• Summarizes changes made in response to specific review points.

Example prompts

• "Here is a code review comment stating my function lacks error handling; please revise the implementation to include try-catch blocks."
• "Analyze this feedback on my database query optimization and provide an updated version of the SQL script."
• "I received a suggestion to refactor this loop for better performance; show me how you applied that change."

Tips & gotchas

Ensure the code review input is clearly formatted, as vague feedback may result in generic revisions. The agent relies on the specificity of the critique to make targeted improvements rather than broad rewrites.