Automation bias, the tendency to over-trust automated systems, undermines human oversight of AI agents, turning approval processes into rubber stamps. Research on AI coding agents shows that even when…
LoopRails introduces a sandbox-first pattern for AI agents, containing mistakes by running them in isolated environments with no network, scoped credentials, and disposable infrastructure. The framewo…
LoopRails has introduced a seven-level autonomy ladder for AI agents, ranging from fully autonomous (L0) to human-only (L6), designed to help teams set per-action control levels based on risk. The fra…
A developer outlines a framework for building effective human-in-the-loop systems for AI coding agents, arguing that approval prompts should be reserved for actions a human can realistically catch, wh…
A developer's analysis of human-in-the-loop AI safety finds that requiring human approval for AI actions often fails to improve safety. Research on AI coding agents showed that while plan-approval gat…
Agentic AI, built on large language models, can autonomously pursue goals by taking actions such as calling APIs, running code, and editing files, distinguishing it from chatbots that only generate te…