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As published on e2b.dev, June 2026. Captured by usedby on Oct 6, 2026.

What happened

StackAI runs the code that its customers' and LLMs' agent workflows generate inside isolated E2B sandboxes. It uses them for custom Python and JavaScript code, computer use and RPA replays, and browser-based agent sessions for customers in regulated industries.

Summary written by usedby from the source page, in English. The figures are those of E2B and StackAI, not ours.

Custom Code. Users write and execute Python or JavaScript directly inside agent workflows through the Code Node. E2B handles the sandboxing, so every execution runs in a secure, isolated environment regardless of workflow complexity.

From the page. e2b.dev, captured Oct 6, 2026

We built our own code sandbox VM, and it neither scaled well nor had all the features we needed. We couldn’t afford the time to take away from building revenue-generating features for 5-6 of our platform engineers to build and maintain the infrastructure

Tony Rosinol, Co-Founder at StackAI, StackAI. Source, captured Oct 6, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 6, 2026.

  • The passage quoted aboveCheckedCopied word for word from the page, near the name of StackAI.
  • The numbers in our summaryCheckedEach one is printed on the page.
  • The publication dateCheckedRead from the page’s own metadata, never guessed.
  • StackAI uses E2BCheckedConfirmed line. Latest check across sources: Oct 6, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

Over 1 million documents“Over 1 million documents processed for enterprise customers”StackAI uses LlamaIndex. Another tool at StackAI$250M ARR“from zero to $250M ARR in 12 months”Genspark uses E2B. Another customer of E2Bhalf a day“Manus team was able to implement and deploy E2B in half a day”Manus uses E2B. Another customer of E2B