> (1) automated infrastructure audits— agents periodically scan your environment to find cost optimization opportunities, detect infrastructure drift, and validate your infra against compliance requirements.

Why does that need an AI? I’m pretty sure many tools for those things exist, and they predate LLMs.

Glad you mentioned this! We do use open source rule-based scanners internally to make it more deterministic. This is also a new feature, and we'd probably want to integrate with existing tools rather than competing with them. We do think there are some benefits of using LLMs though.

I think the power language models introduce is being able to more tightly integrate app-code with the infrastructure. They can read YAML, shell scripts, or ad-hoc wiki policies and map them to compliance checks, for example.