Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Adversarial test generation for AI coding sessions. Detects language and framework; writes tests; runs them; classifies failures via R12 (realbug / environment / testbug). Ships 8 adversarial scenario categories. Works in Cline directly and in 8+ editors via Cline host coverage. 162 plugin tests. MIT.
Multi-LLM deliberation with anonymized peer review. Runs a 3-stage council: parallel responses → anonymous ranking → synthesis. Based on Andrej Karpathy's LLM Council concept.