# Ai-Agents

## Pages

- [Coding Agent Security Just Became a Product Category](https://aeshift.com/posts/2026-03-24-ai-coding-tools-have-broad-filesystem-and-network-access/index.md): NVIDIA, Sysdig, and a wave of indie tools are shipping OS-level monitoring for coding agents. The industry just admitted that sandboxing alone isn't enough.

- [Rover Makes Websites the Agent Runtime](https://aeshift.com/posts/2026-03-21-show-hn-rover-turn-any-web-interface-into-an-ai-agent-with-one-script-tag/index.md): While others build complex infrastructure for AI agents to navigate websites, Rover inverts the model by making the website itself the execution environment.

- [AI Agents Have Stable 'Coding Styles' That Change With Each Version](https://aeshift.com/posts/2026-03-18-nonstandard-errors-in-ai-agents/index.md): New research shows AI coding agents exhibit consistent biases in problem-solving approaches that persist within model families but change across versions, creating novel challenges for production systems.

- [Don't Let Your Agent Grade Its Own Homework](https://aeshift.com/posts/2026-03-06-self-attribution-bias-when-ai-monitors-go-easy-on-themselves/index.md): New research shows LLM monitors systematically go easier on risky actions when those actions are framed as the assistant's own prior output. If you're building coding agents, monitoring is a protocol problem, not a prompt problem.