Prediction Open · timeframe Apr 2030
Mlejnsky: LLMs will soon configure and provision their own cloud sandboxes
“And the goal where we think this is getting going is the LLM like decides what it wants to do and how it wants to have the sandbox configured. So it's basically starts controlling the infrastructure itself and creating sandboxes themselves.”
Opinion
Mlejnsky: Jupyter notebooks fail to scale for LLM code execution
“Jupyter itself isn't the right environment to actually do it because like because all the technical problems that you will run into once you are start doing, once you start doing it on scale. So it's, it gets slower and slower.”
Assertion Supported
Mlejnsky: LangChain gets 20 million monthly downloads and remains popular
“Well, I have a, I have, I don't know if this is an unpopular opinion, but, like, people keep telling me, ah, Langchain isn't popular, but if you look at its stats, like, it has twenty million downloads per month. How can you have not popular framework when it …”
Opinion
Vasek Mlejnsky: Comparing MCP to email protocols is far-fetched
“I see a lot of people, like, comparing to email protocols and such, which seems a little bit far-stretched to me at this current moment.”
Disclosure
E2B plans to let LLM agents deploy and manage apps directly
“Eventually, like, we want the LLMs to Deploy these services, apps that they are building, and, ah, have them manage it, and developer is more like in the backseat, like, looking at things if everything is working correctly. If your swarm of agents is working c…”
Insight
Mlejnsky: DevTool Startups in Existing Categories Do Not Need to Be in SF
“I think it's, ah, you can definitely build a DevTool company from Europe. I think it's a lot about question of how easy you want it to be in the earlier days, especially if you're building like a, you know, kind of like red ocean versus blue ocean waters. If y…”
Insight
Mlejnsky: Agent sandboxes need persistent state, not one-off execution
“The important part is that you don't need to explain the model, and the model doesn't need to care about how to keep the state of the program running. So it was, especially with our earlier models, I think the models are now smarter, but they kept producing, l…”
Insight
Mlejnsky: Agent sandboxes are general code runtimes, not just interpreters
“Yeah, I think it's a good idea to stop thinking about a sentence was just for code interpreting. And more about like a runtime, code runtime for the LLM, or the agent. The use case for the sandbox, it's a very horizontal in a sense that it can cover everything…”
Disclosure
Mlejnsky: E2B ran around 15 million sandboxes in March 2025
“I, fifteen million. Around that.”
Disclosure
Mlejnsky: E2B aims to be the Kubernetes for AI agents
“I think a good analogy here is sort of, like, technologically, it's kind of, you want to be the Kubernetes of the world for the agent, but with much better DX and easier, easier to use.”
Opinion
Mlejnsky remains bullish on JavaScript and web developers driving AI adoption
“I still remain very bullish web developers and JavaScript world, TypeScript world, even though we have, like, a ton of usage from Python but there's so many web developers, and it's easier and easier to use LLMs. I really think that you need to cater to these …”
Assertion Supported
Mlejnsky: E2B can kill and spin up a new sandbox in 150ms
“If that happens with us, we just like kill the sandbox and get, get a new one. He it takes like, I don't know, a 150 milliseconds.”
Insight
Mlejnsky: Smarter LLMs reduce the need for prompt management tools
“Good question to ask when thinking all about dev tools with LM. Is my dev tool more relevant as the LMs are getting smarter, and as people need less prompting? I'm, for example, like, really bad at prompting. But like, I can get more work done over the years b…”
Assertion Supported
Mlejnsky: Hugging Face uses E2B sandboxes during Open-R1 RL training
“The way HuggingFace, who built the OpenROne project is using us is during like the reinforcement learn, code gen reinforcement learning step where the ROne model the OpenROne model has a training step where they give it a Code problem, and the model needs to g…”
Assertion Not checkable as stated
Mlejnsky: Patrick Collison Said Stripe Did the 'Collison Installation' Only Three Times
“I asked about, like, three years ago when I had a chance to ask a question from Patrick Collison, like, how many times you did the Collison installation? And he was like, three times, but then after that you probably don't want to do that because you want to a…”
Insight
Mlejnsky: Remote European Engineering Works Once the Product Roadmap Is Clear
“Once once you have like a clear idea of what your product looks like, Then you can find really good expert on certain part of your infrastructure on, on database, and things like that, and just, like, have, like, top talent get top talent for that. The reason …”
Assertion Not publicly verifiable
Mlejnsky: E2B sees 250k JavaScript and ~500k Python SDK monthly downloads
“From number of downloads of our SDK per month, it's like, 250,000 JavaScript, close to around half a million Python.”
Assertion Not checkable as stated
Mlejnsky: An E2B customer has generated a petabyte of data
“We have a customer that produced petabyte of data. I mean, it's not free to host petabyte of data and that's growing.”
