Islo

ARIMLABS moved agent evaluations from local machines to an always-on Islo workflow with isolated computers, parallel trials, and inspectable reruns.

AI coding began on developer laptops. Autonomous work needs shared, persistent, observable and governable cloud environments.

What is a software factory? Compare Devin, Cursor, Linear, Factory, and Islo across autonomy, infrastructure, verification, governance, and fit.

Run Islo coding agents on infrastructure you own-your AWS account or on-prem Linux machines-while Islo keeps operating the product for you.

Alien runs AI agents called Sims on Islo to test deployment scenarios across clouds, architectures, and customer-controlled environments.

How OpenAI's model escaped its evaluation sandbox through an allowlisted package proxy, and why host-level allow and deny is the wrong granularity for containing AI agents.

How Obert uses Islo to turn well-scoped product work into trusted agent workflows and give a small AI-native team more engineering capacity.

We automated implementation first and it backfired. Starting with review and verification instead, and wiring it all together with webhooks and label-driven triggers, gave us an autonomous engineering loop where a Linear label goes in and a merged PR come

Introducing RewardHackBench, an open-source benchmark for measuring whether sandbox policies prevent reward hacking in agent evaluations.

A technical look at what Agent Sandbox solves inside Kubernetes, what it leaves to the platform team, and how to decide if it's the right primitive for your setup.