Everyone's still debating this AI architecture question

LangChain · Advanced ·🤖 AI Agents & Automation ·4h ago
Agent inside the sandbox or outside it? Ramp's Head of Applied Research explains why they put the agent outside, spin up a fresh sandbox for every user action, and why keeping code-gen isolated from prior runs was the key architectural insight behind Ramp Sheets. This clip is from Max Agency, a #podcast about how the best AI agents are actually being built. Hosted by Harrison Chase, CEO of LangChain, each episode goes deep with the builders designing, deploying, and learning from real agent systems in the wild. From architecture decisions to evals, tooling, and failure modes, Max Agency is for people who want to understand what it really takes to build useful agents.
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

The AI Bridge Problem: Why Enterprise AI Integration Is an Architecture Challenge, Not an AI Challenge
Enterprise AI integration is an architecture challenge, not an AI challenge, requiring a focus on bridging complex systems
Dev.to AI
BizNode's self-healing watchdog auto-restarts crashed services. Zero downtime, zero babysitting needed
Learn how BizNode's self-healing watchdog ensures zero downtime for services, eliminating the need for manual intervention
Dev.to AI
Restrict access to sensitive documents in your Amazon Quick knowledge bases for Amazon S3
Learn to restrict access to sensitive documents in Amazon Quick knowledge bases for Amazon S3 by configuring document-level ACLs
AWS Machine Learning
The Context Layer: Why Enterprise AI Agents Fail Without It — and What It Actually Takes to Fix That
Enterprise AI agents often fail due to lack of context, but understanding the four-layer context problem can help fix this issue
Dev.to · Swapnil Chougule
Up next
I Tested 3 Ways to Deploy Claude Agents (Here's When to Use Each)
Nate Herk | AI Automation
Watch →