Jonathan Wall is the CEO at Runloop.ai, working on enterprise-grade infrastructure and execution environments for AI coding agents.

The Future of AI Agents is Sandboxed // MLOps Podcast #353 with Jonathan Wall, CEO at Runloop.ai.

Join the Community:

https://go.mlops.community/YTJoinIn

Get the newsletter: https://go.mlops.community/YTNewsletter

Shoutout to  @runloop-ai  for powering this MLOps Podcast episode.

// Abstract

Everyone’s arguing about agents. Jonathan Wall says the real fight is about sandboxes, isolation, and why most “agent platforms” are doing it wrong.

// Bio

Jon was the techlead of Google File System, a founding engineer at Google Wallet, and then the founder of Inde, which was acquired by Stripe. He is building Runloop.ai to bridge the production gap for AI Agents by building a one-stop sandbox infrastructure for building, deploying, and refining agents.

// Related Links

Website: runloop.ai

Blogs and content at https://www.runloop.ai/

~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~

Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExplore

Join our Slack community [https://go.mlops.community/slack]

Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)]

Sign up for the next meetup: [https://go.mlops.community/register]

MLOps Swag/Merch: [https://shop.mlops.community/]

Connect with Demetrios on LinkedIn: /dpbrinkm

Connect with Jon on LinkedIn: /jonathantwall/

Timestamps:

[00:00] GitHubification of workflows

[00:29] Sandbox definitions explained

[04:47] Agent setup explanation

[08:03] Sandbox vs API agent

[13:51] Resource usage in sandbox

[22:50] Agent evaluation setup

[28:08] Failure cases value

[31:06] Sandbox isolation vs multi-tenancy

[36:14] Frameworks vs Harnesses

[39:02] Langraph vs Harness comparison

[43:22] Agent flexibility and verification

[52:51] Training data focus

[57:10] Wrap up