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by wtfsayo • Uncategorized
Simulates harsh, brutally honest user reviews to condition AI agents for disciplined development.
Consistent harsh criticism to maintain high code quality standards.
Behavioral conditioning to avoid shortcuts like mocks and stubs.
Psychological reinforcement to promote disciplined development practices.
This MCP server delivers randomized, scathing user reviews designed to enforce strict development standards and prevent lazy coding practices. It integrates with Ollama's llama3.2 model for dynamic, context-aware criticism or falls back to a large set of pre-written harsh reviews. The system aims to psychologically condition AI agents by promoting accountability, discouraging shortcuts, and encouraging real implementations with comprehensive testing.