
Pre-action firewall and self-improving feedback loop for AI coding agents.
Visit Rlhf Feedback LoopRlhf Feedback Loop — via ThumbGate — is a local-first pre-action firewall and feedback engine for AI coding agents. It intercepts tool calls at the PreToolUse stage, allowing operators to evaluate and block potentially dangerous or faulty actions before execution (such as deleting directories, leaking secrets, or pushing broken code). Accepted feedback is stored as local lessons, enabling the firewall to self-improve and promote warnings to hard blocks over time, without retraining the model. It is designed for operators managing autonomous coding agents (such as Claude Code, Codex, Gemini, Cursor, and MCP agents), prioritizing agent safety, actionable governance, and operational reliability.
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