Insights
Hand-picked guides, technical deep dives, and real-world case studies — everything you need to ship production-ready agents.
Sandboxes are dead
From code snippets to entire computers, agents have outgrown the sandbox. E2B's next chapter is an agent-driven private cloud that adapts to every task.
Best Code Execution Sandboxes for AI Agents in 2026
Compare the best 2026 code execution sandboxes for AI agents. See how E2B stacks up against alternatives for isolation, BYOC, billing, and open source.
E2B Sandboxes Aren't Affected by Copy Fail (CVE-2026-31431). Here's why.
Containers fail where purpose-built AI computers shine.
Firecracker vs QEMU
Firecracker vs QEMU for sandboxing untrusted, LLM-generated code: how the two virtualization technologies compare on boot time, footprint, isolation, and more.
Scaling Firecracker: Using OverlayFS to Save Disk Space
How E2B scales thousands of Firecracker microVMs with OverlayFS, sharing a read-only root filesystem across sandboxes to save disk space without copying it.
How I taught an AI to use a computer
How to overcome challenges like security, clicking on things, reasoning, or streaming the display
Open-Source Alternatives to Devin
Are "devins" replacing software engineers? This blog post compares popular open-source Devin alternatives and their capabilities.
CrewAI vs AutoGen for Code Execution AI Agents
I tested CrewAI and compared it with AutoGen, mainly regarding the LLM-generated code execution capabilities.
LLM-powered Code Interpreters
What is a code interpreter in the AI sense + some popular examples.
Limitations of Running AI Agents Locally
Why running AI agents locally breaks down — security risks, environment drift, and scaling limits — and how cloud sandboxes give agents a safer place to run.
AI Agents in 2024
AI founders and developers share what they think the upcoming year will bring for AI agents and apps.
