The One Thing Every AI Agent Framework Agrees On: Sandboxed Code Execution
AI Engineer · youtube · 2026-11-09
Daytona's Mislav Ivanda, who integrated sandboxes into most major agent frameworks, notes frameworks disagreeing on everything converge here. He compares three ways to run agent-generated code—allow lists with approval prompts, embedded runtimes, and a separate sandboxed computer—and explains why only the last one keeps a compromised step from compromising your app. CrewAI, AG2 and OpenAI Agents SDK are all moving to sandboxes. His advice: models, prompts and frameworks are easy to swap, so choose where your agent's code runs first. Frameworks are opinions, boundaries are commitments.
More from coding & agent
- Getting Omarchy running on Snapdragon Surface Pro: custom kernel plus SSH tunnel for OpenClaw — vincent_koc · 2026-11-09
- Resurfacing in Obsidian: Random Notes, Review Queues and Related Notes — dSebastien · 2026-11-09
- One prompt edit made an agent burn $133 on 21 rogue calls — and the 3 gates that fixed it — Worth_Wealth_6811 · 2026-11-09
- Solo dev adds read-only MCP connector so Claude and ChatGPT can query your food diary — Content-Two5729 · 2026-11-09
- Suspected DPRK npm supply chain attack: archetype-index-sdk ships obfuscated loader with credential harvesting — cyb3rops · 2026-11-09
- OpenBrowser: open-source AI agent browsing toolkit hits 9.6k GitHub stars in days — thisdudelikesAI · 2026-11-09