Vaclav Mlejnsky님 글 목록

Vaclav Mlejnsky

@Devbook

Joined on 2021년 05월 17일

4:09 10/06

usedevbook.com

4:09

usedevbook.com

E2B Blog & Customer Stories
https://usedevbook.com

Articles and customer stories from E2B — Open-source sandbox platform that gives AI agents isolated machines.

최종 피드 수집: 2026-10-13 19:45

전체 (79)

How ClickUp Runs AI Code on Sensitive Data at Enterprise Scale

How ClickUp Brain² uses E2B sandboxes to run model-written code on sensitive workspace data, with isolated microVMs, prebuilt te

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Introducing E2B Secrets

E2B Secrets keeps credentials outside the sandbox and injects them into the HTTPS request headers you configure, so agents can c

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13d

How Arena Puts Frontier AI to the Test with 600,000 E2B Sandboxes a Day

How Arena uses E2B to give agents full cloud computers for agent evaluations, scaling from a Berkeley SkyLab research project to

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Introducing E2B Embed

E2B Embed packages the runtime and dashboard for one machine. Ship it with your product and run sandboxes inside your customer's

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How Lark Uses E2B to Safely Test Apps with Customer Data

How Lark uses E2B sandboxes to test customer apps in Docker-based dev environments

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Build an Agent Workbench on OpenAI's Agents API

A workbench built on OpenAI's Agents API (beta) and E2B sandboxes: application-managed lifecycle, one sandbox per chat, pause an

Guides

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How Paper Instruments uses E2B to cut idle GPU time for RL rollouts

How Paper Instruments runs thousands of concurrent RL rollouts with up to 3x faster tool execution, cutting idle GPU time and tr

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How Replicas Cut Customer Latency 60% with E2B

How Replicas powers fleets of cloud coding agents with reliable, full-computer E2B environments while cutting customer latency b

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How Effective AI Runs Secure, Multi-Agent Insurance Workflows at Scale

How Effective AI uses E2B to keep customer code, data, and agent activity isolated across multi-agent insurance workflows.

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Use E2B as the Execution Layer For Devin Outposts

Devin Outposts lets you run Devin sessions inside infrastructure you control, with each session running on an E2B microVM that k

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How Anything Is Building a Vibe-Coding Empire with 1M+ Users

How Anything uses E2B to give every AI agent a real computer, powering app generation for more than one million users.

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Rogo Delivers AI for Financial Institutions with Claude Managed Agents & E2B

State-of-the-art orchestration on top, kernel-level isolation, and 10,000 to 15,000 concurrent sandboxes underneath

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E2B sandboxes are now available through Stripe Projects

AI agents can now provision and authenticate E2B sandboxes directly through Stripe Projects.

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How StackAI Runs Enterprise AI Agents for Regulated Industries

A no-code platform serving banks, defense, and healthcare powers hundreds of agentic workflows with E2B

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How Genspark Uses E2B to Run a General-Purpose AI Agent for Millions of Users

Genspark is a fast-growing AI agent platform helping 1B people become AI specialists. It raised $545M, reached a $1.26B valuatio

Research

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E2B Sandboxes Aren't Affected by Copy Fail (CVE-2026-31431). Here's why.

Containers fail where purpose-built AI computers shine.

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E2B is now supported in the OpenAI Agents SDK

Building long-horizon agents just got easier.

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Where AI Agents Are Heading: What We Learned from Recent YC Startups

We talked to founders of the latest AI products, from general to industry-specific agents — here is where we see the industry go

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Gumloop Has Run on E2B for Over Two Years — Serving Enterprises Like Shopify and Instacart

Gumloop is an AI automation platform backed by Y Combinator. E2B has been their code execution layer since the beginning — over

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Postmortem: Service disruption on Jan 13, 2026

Postmortem of the January 13, 2026 E2B service disruption: how a control-plane failure blocked new sandbox creation, the impact,

Updates

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11M

Docker & E2B partner to introduce MCP support in E2B Sandbox

E2B partners with Docker to bring native MCP support to every sandbox — 200+ tools from the official Docker MCP Catalog, availab

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11M

Introducing Build System 2.0

A faster and simpler way to create custom sandboxes in E2B

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JavaScript Guide: Run OpenAI Codex in an E2B Sandbox

Run OpenAI Codex in an E2B Sandbox from JavaScript: an isolated, long-running environment where the agent safely creates files,

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Python Guide: Run OpenAI Codex in an E2B Sandbox

Run OpenAI Codex in an E2B Sandbox from Python: an isolated, long-running environment where the agent safely creates files, inst

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We Raised $21M to Give Fortune 100 Cloud for AI Agents

This Brings Our Total Funding to $32M to Build the Enterprise AI Agent Cloud, Close the 88% of F100 Using Us, and Hire Cracked E

Updates

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Groq's Compound AI Systems Are Powered by E2B

How Groq's Compound AI systems combine LLMs with web search and secure code execution, powered by E2B sandboxes at scale — witho

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Lindy Powers AI Workflows With E2B Code Action

Lindy's Code Action feature lets users run custom Python and JavaScript inside AI workflows, powered by E2B's secure code execut

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How Manus Uses E2B to Provide Agents With Virtual Computers

Behind Manus's general-purpose AI agent is a multi-agent system running on E2B — full virtual computers where agents execute rea

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How Hugging Face Is Using E2B to Replicate DeepSeek-R1

How Hugging Face's Open R1 project uses E2B sandboxes to replicate DeepSeek-R1, executing model-generated code securely across l

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Firecracker vs QEMU

Firecracker vs QEMU for sandboxing untrusted, LLM-generated code: how the two virtualization technologies compare on boot time,

Insights

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Replicating Cursor’s Agent Mode with E2B and AgentKit

How to replicate Cursor's Agent Mode with E2B and AgentKit: build a coding agent that edits files, runs commands, and iterates i

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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 di

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How Arena Collaborated with E2B to Build LLM Web Development Evals

Insights from implementing E2B sandboxes for evaluating LLM-generated web apps

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How I taught an AI to use a computer

How to overcome challenges like security, clicking on things, reasoning, or streaming the display

Insights

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Code interpreter with o1 and GPT-4o

Guide for building a JS/TS program that trains a ML model and displays the results in a graph.

Guides

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Python code interpreter with o1 and GPT-4o

A step-by-step guide for building a Python program that trains a ML model and displays the results in a graph.

Guides

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Automating spreadsheet workflows with AI (Manaflow)

Lawrence Chen talks about Manaflow, a startup automating repetitive office work with AI agents

Interviews

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Code Interpreting with Groq and E2B in Python

Build a Python AI data analyst that uses Groq-powered LLMs and the E2B SDK to securely run AI-generated code in a sandbox.

Guides

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Code Interpreting with Groq and E2B in JavaScript

Build a JavaScript AI data analyst that uses Groq-powered LLMs and the E2B SDK to securely run AI-generated code in a sandbox.

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Llama 3.1 with code interpreter in JavaScript

How to generate and securely execute code with Llama 3.1, including a step-by-step guide.

Guides

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Llama 3.1 with code interpreter in Python

Step-by-step guide for generating and executing code with Llama 3.1.

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Athena Intelligence: Earning enterprises' trust with your AI product

Read interview with Ben Reilly, the founding platform engineer of Athena Intelligence, AI data analyst for enterprises.

Interviews

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Give LangGraph code execution capabilities

This example shows how to add code interpreting to an LLM using the Code Interpreter SDK and LangGraph.

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Build LangChain agent with code interpreter

This example shows how to add code interpreting to an LLM using the Code Interpreter SDK and LangChain.

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How to analyze your CSV files with Llama 3

Follow these steps to use Llama 3, Groq, and E2B for analyzing your uploaded data files

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Gumloop: Building AI workflow automation for enterprises

The founder of Gumloop shares their journey from AutoGPT wrapper to "Zapier on steroids".

Interviews

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AI Code Execution with Mistral's Codestral

In this Python step-by-step guide, we give the new Mistal's model code interpreter as a tool.

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Build AI data analyst with sandboxed code execution using TS, and GPT-4o

In this guide, we give GPT-4o code interpreter capabilities and test it on data visualization task.

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Launching the Code Interpreter SDK

We released the Code Interpreter SDK - anopen-source building block for developers of AI agents.

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How to add code interpreter to Llama 3

In this guide, we give Llama 3 code interpreter capabilities and test it on data analysis and data visualization task.

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Open-Source Alternatives to Devin

Are "devins" replacing software engineers? This blog post compares popular open-source Devin alternatives and their capabilities

Insights

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ReactEval: Building LLM Benchmark for Frontend

James Murdza of GitWit shares how he built ReactEval to run benchmark tests for React code.

Interviews

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Building Open-Source Codebase Copilot with Code Execution Layer

Ted Spare of Rubric Labs discusses challenges he encountered while building AI-powered products.

Interviews

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You Can Now Customize CPU and RAM for Your Sandbox

Developers are now able to customize the number of vCPUs and RAM size for their E2B sandboxes.

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Up to 5x Faster Sandboxes

We added support for Huge Pages to our sandboxes which makes the start of memory-intensive tasks in sandboxes up to 5x faster.

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AutoGen Code Interpreter with E2B

Check out a new AutoGen code interpreter where the LLM-generated code is executed in the cloud, using E2B sandbox.

Community

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CrewAI vs AutoGen for Code Execution AI Agents

I tested CrewAI and compared it with AutoGen, mainly regarding the LLM-generated code execution capabilities.

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LLM-powered Code Interpreters

What is a code interpreter in the AI sense + some popular examples.

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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

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AI Agents in 2024

AI founders and developers share what they think the upcoming year will bring for AI agents and apps.

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Will OpenAI’s GPTs Kill AI Agents?

What do the OpenAI's GPTs mean for the "independent" AI agents?

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OpenAI DevDay

Summarizing the announcements from one of the biggest AI events in 2023.

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Code Interpreter Sandbox

How is the OpenAI Code Interpreter different from the E2B Code Interpreter Sandbox? See the comparison.

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October Update

Enjoy our monthly recap of new AI products, exciting news, podcasts, articles, and E2B updates!

Updates

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AI Data Analyst in Cloud Sandbox with LangChain & E2B

Create a LangChain agent with E2B cloud sandbox and GPT-4 to analyze your uploaded data.

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AI Agents vs. Developers

About the AI agents' challenges of memory, security, testing, and data privacy of LLM products.

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Microsoft's AutoGen - A guide to code-executing agents

A guide to Microsoft's AutoGen framework for code-executing AI agents: how multi-agent conversations work, and how to run genera

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Battle of AI coding tools

We compared across several categories three AI tools: GitHub Copilot, Cursor, and Aide, the latter two built as a modification o

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Building tools for LLM agents with Flo Crivello - CEO at Lindy AI

Lindy is an AI assistant whose objective is to save users' time. ” We asked its creator, Flo Crivello, a few questions about bui

Interviews

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The State of AI Agents

Here is what we learned about products built on the top of agents, their challenges, standardization, and the future.

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Sweep Founders Share Learnings from Building an AI Coding Assistant

We asked the Sweep founders for their view on the current agents' space, and the challenges they are working on to solve for the

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About deployment, evaluation, and testing of agents with Sully Omar, the CEO of Cognosys AI

We asked the founder of Cognosys, Sully Omar, about his experience with building a product for no-code users in the Agents space

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David Zhang from Aomni gives his view agents' reliability, debugging and orchestration

Aomni founder David Zhang discusses its users, recent challenges, and how AI agents are progressing on the journey toward reliab

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Discussing agents' tracing, observability, and debugging with Ismail Pelaseyed, the founder of Superagent

We talked with Ismail Pelaseyed, the founder of Superagent, about AI agents, their current challenges, and potential solutions.

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Agent Protocol: Developers community setting a new standard

By establishing a common framework, we aim to help the agent ecosystem grow faster and simplify the work.

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ChatGPT Plugin by E2B

The E2B plugin gives ChatGPT secure access to a full, sandboxed cloud environment running on E2B infrastructure.

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We discussed the Agent Protocol with the community

We discussed current challenges faced by agents, e.g. their deployment, debugging in real time or tooling.

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We gave AI Agents a cloud playground

Meet smol developer, an AI agent on E2B that works as your personal junior developer. Launch it in seconds and start building ri

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AI agents in the wild

AI agents are booming: AutoGPT has 140K+ GitHub stars, startups launch weekly, and we analyzed 50+ agents to map the ecosystem.

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E2B Blog & Customer Storieshttps://usedevbook.com

E2B Blog & Customer Stories
https://usedevbook.com