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06-14

Building cloud agent infrastructure: what's different, and what we learned

A hands-on report from CREAO detailing the architectural challenges of moving AI agents from a single-user desktop to a multi-tenant cloud sandbox. It presents two hard-won lessons. First, decouple slowly-changing user environments from fast-changing platform code by freezing user sandboxes into snapshots and hot-swapping the runner library in ~300ms via an atomic sequence involving chattr, V8 compile cache purging, and post-run re-snapshotting. Second, enforce strict credential isolation by ensuring no long-lived secrets ever enter the sandbox; a host-side API bridge verifies sandbox calls using a dual check of IP allowlisting and short-lived, per-run JWTs, so a compromised agent yields only an expiring, network-pinned token. Concrete commands, validation steps, and design rationale included. Recommended for backend and infrastructure engineers productizing agents in shared environments.

x.com · 10 min · Agents · AI Engineering · Infra
05-31

Project Glasswing: What Mythos Showed Us

Cloudflare tested Anthropic's Mythos Preview on 50+ internal repos under Project Glasswing. The model excels at chaining low-severity bugs into working exploits and generating PoCs, making validation actionable. Real-world use revealed inconsistent model refusals and signal-to-noise challenges; a generic coding agent proved ineffective. Cloudflare built an eight-stage harness (Recon, Hunt, Validate, Gapfill, Dedupe, Trace, Feedback, Report) using parallel narrow tasks and adversarial review to improve quality. The post argues that beyond faster patching, defenses must limit exploit reachability from the architecture layer.

blog.cloudflare.com · 18 min · Agents · Infra · LLM