Policy Gate for AI Coding Agents

AI agents ignore explicit instructions in documentation and safety guidelines, leading to deprecated APIs, unsafe code, and poor architectural decisions. This tool enforces policy rules at the tool-call level, preventing agents from violating best practices before they execute—solving the gap between agent guidance and actual behavior.

Agentic coding tools like Cursor, Copilot, and Devin are shipping fast, and the consistent complaint from engineering teams is that agents ignore system prompts, use deprecated APIs, and bypass architectural conventions — the problem is real and well-documented in dev communities right now. No clear incumbent owns this specific layer; guardrail tools like Guardrails AI exist but target LLM output validation broadly, not tool-call interception for coding agents specifically. The $2k–10k/mo revenue band makes sense for a dev-team seat license or per-agent pricing, though sales cycles into engineering orgs can stretch thin for a solo founder. The biggest risk is that the major coding agent platforms — Cursor, GitHub, Anthropic — build this natively into their policy or rules layers, commoditizing the problem before an independent product can establish a defensible customer base.