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LLM Code Execution: Running LLM-generated code on the same server as the application is not recommended and this can be prevented by running the code on the Sandbox environments such as Modal and E2B. - Source: dev.to / 11 days ago
Hi everyone, I'm Vasek (https://x.com/mlejva), the CEO of the company behind this - https://e2b.dev. The company is called E2B. We're an open-source (https://github.com/e2b-dev). Essentially building a virtual desktop computer for AI and we gave it to LLMs to control it. - Source: Hacker News / 14 days ago
> do not even need to know all the data to perform operations on it or make decisions If I know code-generation is going to be possible without any contextual information, I might as well generate the code using copilot or Curor and commit my code. Why do I need a runtime agent to do it? What if the control flow has to change based on a result it receives? What if the plan up front is wrong and needs to change... - Source: Hacker News / 28 days ago
E2B | Distributed Systems/Systems/AI/Product Engineers | Full-time | San Francisco (in-person) | $150k - $400k + equity (0.1% - 1%) | https://e2b.dev Hi, I'm Vasek. CEO of E2B (https://e2b.dev). We're building an open-source infrastructure for AI code interpreting in our Sandboxes. We have customers like Perplexity, have revenue, growing, and raised over $11M.W e're hiring engineers all over the board to work on... - Source: Hacker News / about 1 month ago
To securely run generated code, the most popular cloud code interpreters are e2b, Google, and OpenAI as I mentioned before. - Source: dev.to / about 2 months ago
E2B | Distributed Systems/Systems/Product Engineers | Full-time | San Francisco (in-person) | $150k - $250k + equity (0.1% - 1%) | https://e2b.dev Hi, I'm Vasek [0]. CEO of E2B. We're building an open-source [1] infrastructure for code interpreting in our Sandboxes. We have customers like Perplexity [2] or PGA. We recently closed a $11M round [3], growing double digits every month (started over 10M of our... - Source: Hacker News / 2 months ago
There are a few tools here like e2b and modal. No affiliation. [1] https://e2b.dev. - Source: Hacker News / 3 months ago
Check out our careers page to learn more - https://e2b.dev/careers. Shoot me an email if this sounds interesting to you at vasek at e2b.dev [0] https://x.com/mlejva [0] https://www.linkedin.com/in/mlejva/ [1] https://e2b.dev/blog/how-perplexity-implemented-advanced-data-analysis-for-pro-users-in-1-week [2] http://github.com/e2b-dev [3]... - Source: Hacker News / 3 months ago
Hello, I'm the CEO of the company that built this - E2B [0]. We're building infrastructure for AI code interpreting. Companies like Perplexity are using us. We're using Firecrackers [1] to power our sandboxes. Funnily enough, we had this repo sitting on our GitHub for about 6 months. We originally made this for one of our customers because they were running evals on the desktop-like environment with GUI for their... - Source: Hacker News / 3 months ago
In this tutorial, we'll use e2b, a service that provides sandboxes specifically designed for running AI agent-generated code! To use e2b, you'll need to create an account, and the free tier will be more than enough. We'll use an example from the documentation of the recently released Autogen 0.4. Our focus will be on integrating e2b, without diving too deeply into the specifics of Autogen syntax. You can refer to... - Source: dev.to / 4 months ago
Perhaps https://e2b.dev/ would be a nice place for you to start exploring. - Source: Hacker News / 5 months ago
E2B | Infrastructure, Product, Growth Engineers | Full-time | San Francisco (in-person) | $150k - $220k (equity 0.1% - 1%) | https://e2b.dev Hi, I'm Vasek [0]. CEO of E2B. We're building an open-source [1] cloud runtime for AI agents. We've started over 1.5M of our AI sandboxes and have been growing 30%-60% MoM. We're a team of 4, have a revenue from seed to enterprise companies and just closed a new round of... - Source: Hacker News / 6 months ago
Hey HN, I made this open-source template for building Anthropic's Artifacts UI-like chat apps. You can use it to run AI-generated Python in headless Jupyter server and also build Next.js apps with it. Here's the stack I used - Anthropic's Claude Sonnet 3.5 [0] - Vercel's AI SDK for calling the LLM [1] - E2B for running AI-generated code with the Code Interpreter SDK and Sandboxes [2] - Next.js for the app [3]... - Source: Hacker News / 7 months ago
The next generation of LMs will need a greater degree of isolation. Cloud providers like Amazon already allow arbitrary users access to their systems without knowing whether the user is a hacker. The startup E2B brings the same secure containerization technology Amazon uses to the AI space. Treating these LMs as if they were potentially malicious human-level hackers and placing similar restrictions on them as... - Source: dev.to / 9 months ago
E2B | https://e2b.dev | San Francisco, CA | Full-time | In-person [E2B](https://e2b.dev) is building a secure open-source runtime that will power next billion of AI apps & agents. We found an early traction with making it easy for developers to add [code interpreting](https://github.com/e2b-dev/code-interpreter). We have paying customers from seed to enterprise companies. We're hiring: - Frontend/Product Engineer... - Source: Hacker News / 9 months ago
Hi, I'm the CEO of the company that built this SDK. We're a company called E2B [0]. We're building and open-source [1] secure environments for running untrusted AI-generated code and AI agents. We call these environments sandboxes and they are built on top of micro VM called Firecracker [2]. You can think of us as giving small cloud computers to LLMs. We recently created a dedicated SDK for building custom code... - Source: Hacker News / 10 months ago
These use cases were often centered around AI data analysis so code interpreter-like behavior made sense The way our code interpret SDK works is by spawning an E2B sandbox with Jupyter Server. We then communicate with this Jupyter server through Jupyter Kernel messaging protocol [4] We don't do any wrapping around LLM, any prompting, or any agent-like framework. We leave all of that on users. We're really just a... - Source: Hacker News / 10 months ago
E2B is a platform used to augment building AI autonomous agents. It allows you to provide your AI agent access to tools in a safe, sandboxed environment. With its sandbox feature, you can set up an environment with whatever tools and packages your AI agent requires for the tasks you want it to accomplish. - Source: dev.to / about 1 year ago
Hey Nick and Ben, congrats to launch! I really like that you're going in the TS way by default. I personally think there will me more AI Engineers (devs building LLM apps/agents) working in TS than in Python. I wanted to ask if you accept PRs for integrations? I'm a co-founder of E2B [0]. We give private sandboxed cloud envs to any agents. We're building two things: - [1] Agent Protocol - it's an open protocol... - Source: Hacker News / over 1 year ago
Hey OP here. We took smol developer and deployed it on our platform. Source: over 1 year ago
My name is Vasek and with my co-founder we're working on a new kind of AI-powered IDE called e2b. Source: almost 2 years ago
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