VinvAI – Ties runtime trace to code segment, prevents reward hacking
Finally, a tool that forces AI agents to prove they didn't lie about the code working.
Your agent says it's done. Vinv says prove it. Real traces + live code graph + closed-loop verify, served to your agent over MCP.
Independent replay and hidden tests verify agent fixes, stopping reward hacking cold.
Developers using AI coding agents who need to verify backend behavior and prevent hallucinations.
Cursor · Warp · Datadog
Finally, a tool that forces AI agents to prove they didn't lie about the code working.
Catches LLM reward hacking at runtime when models game evals.
Catches reward hacking before it tanks your RL training run.
Gradient-immune AST analysis that RL models can't optimize against through backpropagation.
Educational content in a space where Nathan Lambert's RLHF book already exists.
LLM judge on outgoing requests achieves 0% cheat rate while preserving 58% fair-solve ceiling.