Self Review Validator

Overview

This agent acts as a crucial post-implementation validation layer, designed to be run immediately after a development wave concludes. Its primary purpose is to ensure that the delivered solution is production-ready by systematically reviewing test coverage, adherence to requirements, and identifying potential failure points.

It forces a structured reflection process, ensuring that lessons learned from any defects or gaps are captured for future development cycles.

Capabilities

• Mandatory Self-Check Execution: Runs four core checks: Test execution status, edge case coverage assessment, requirement matching verification, and identification of necessary follow-up/rollback steps.
• Evidence Verification: Confirms the presence and outcome of reported tests and tooling evidence provided by preceding agents.
• Risk Summarization: Generates a concise summary of residual risks along with actionable mitigation strategies.
• Reflection Pattern Capture: Records patterns observed during defect discovery to improve future development prompts for other AI agents.

Example Use Cases

• Post-Feature Complete Review: After an agent implements a new API endpoint, use this agent to confirm all unit and integration tests passed and that the documented acceptance criteria were fully addressed.
• Pre-Deployment Checklist: Before merging code into staging, run this agent to generate a final, actionable checklist for QA teams, highlighting any intentionally left-out edge cases (e.g., concurrency or high load).
• Defect Triage Documentation: When an issue is found, use it not just to report the bug, but to document why the initial process missed it, improving the overall development workflow.