Great project. There's been multiple approaches/tools in the space(top of my head I can think of e2b, arrakis, claude's new tool). how is this different?
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Intended for exec of AI-generated code, for CICD runners, or for off-chain AI DApps. Mainly to avoid Docker-in-Docker dangers and mess.
Super easy to use with CLI / Python SDK, friendly to AI engs who usually don't like to mess with VM orchestration and networking too much.
Defense-in-depth philosophy.
Would love to get feedback (and contributors: clear & exciting roadmap!), thx
Our native K8s support and exposition of K8s API also makes it friendly to devops.
Finally, our deploy/infra stack is lean and tightly fits in a single Ansible playbook, which makes it easy to understand and contribute to, letting you rapidly gain full understanding and ownership of the stack.