Manish

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Manish

Manish

@mkagenius

Building sandboxes/infra for AI agents https://t.co/haNp0Igvtw

San Francisco, CA Katılım Kasım 2013
143 Takip Edilen95 Takipçiler
Ivan Burazin
Ivan Burazin@ivanburazin·
There will be a point after you start raising your maiden round, when you'll realize that every sophisticated VC fund has a template of founders they invest in. If you don't fit the template, you're not getting the check. Doesn't matter how good the product is or how strong the numbers are.
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Manish
Manish@mkagenius·
We do see early signs of this. Its impossible for humans to read all the code that's being generated. We can't possibly read all the PRs ourselves. The same will happen with all the new software that's going to be made in future. Most of the software will just be consumed by and produced for other software. Another example is the sudden rise of CLI versions of all the SDKs, they are getting remade just to make it convenient for other software to consume. CLI is the best way to let other software consume some other software - atleast for the current SOTA models.
Manish@mkagenius

It will be impossible for humans to consume the amount the software that's about to get built! Agents consuming softwares is so obviously the future.

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Manish
Manish@mkagenius·
It will be impossible for humans to consume the amount the software that's about to get built! Agents consuming softwares is so obviously the future.
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Manish
Manish@mkagenius·
@ivanburazin @daytonaio Same. The very definition of enterprise is changing - one person - or just one agent can be an enterprise now or at least by the turn of the year. You have to be ready from day 1.
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Ivan Burazin
Ivan Burazin@ivanburazin·
We built everything enterprise-ready into @daytonaio from day one. On-prem, multicloud, observability, audit logs, and the whole stack. We didn't even want enterprise customers at the time. But we had learned from the pre-pivot product that adding those things later is brutal. We knew we'd need them eventually, so we built them in right at the very beginning.
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Manish
Manish@mkagenius·
@ctranbtw Sure will connect. Even RL environments are a customer favorite right now.
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ctran.eth
ctran.eth@ctranbtw·
The “beyond sandboxes” positioning is what makes InstaVM stand out. Massive overlap with crypto infra too, agents handling wallets, trading logic, onchain automation, and research pipelines need isolated environments, persistent memory, and controlled egress or things get sketchy fast. Been helping products with similar energy break into crypto circles recently and this one would crush with the right positioning. Got visibility options if you're ever exploring that route, DM me.
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Manish
Manish@mkagenius·
@bernhardsson @generalcatalyst @Redpoint People might get surprised by the valuation, but this is probably just the beginning. There will probably be 10 unicorns in this space by next year.
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Manish
Manish@mkagenius·
@JayaGup10 @karpathy People have always been the moat. Infact. A better llm can be a much better moat - imagine opus and gpt not being at the similar levels. One would take the whole market. And that does require (not necessarily) humans initially but once it's done, it will probably just run away.
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Jovan Kis
Jovan Kis@jovan_kis·
I traveled over 30 different countries so I could build this. This is Trucy, your AI travel agent. She handles the Flights, Hotel, Visas, E-SIMs etc. You just take the trip. No AI slop guaranteed. Link in comments.
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Manish
Manish@mkagenius·
@claudeai Do not restrict yourself to those four providers. The world is much bigger and better!
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Claude
Claude@claudeai·
With self-hosted sandboxes, you can run agents in any environment you control: your own infrastructure, or managed providers like Cloudflare, Daytona, Modal, or Vercel.
Claude tweet media
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Claude
Claude@claudeai·
Live from Code with Claude London: we're launching self-hosted sandboxes (public beta) and MCP tunnels (research preview) in Claude Managed Agents. Run agents inside your own perimeter, with your security controls applied by default.
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Manish
Manish@mkagenius·
Just realised that yesterday 𝐋𝐲𝐟𝐭 co-founder fixed an issue in our open sourced coderunner repo. What in the what!
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Manish
Manish@mkagenius·
@damian_b Agreed, that's we are building InstaVM, thinking beyond sandboxes
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Damian Barabonkov
Damian Barabonkov@damian_b·
TLDR The winning agent sandbox won't be the fastest to boot. It'll be the one to provide: 1. Full-capability environments 2. Trusted credential handling 3. Agent-to-agent coordination The future sandbox is less "box" and more network substrate for real work. More info in 👇
Damian Barabonkov@damian_b

The sandboxing debate is becoming more widespread, but I fear it is focusing on the wrong things. Given too many people are ranking startup times, I decided to write this rebuttal. From Peter’s tweet, his postulation is the correct one: "How would we build software if tokens don’t matter?". In this future, sandboxing will not be about shaving milliseconds off boot. Timings will still matter, but there will be many more layers to this cake. Most critically, sandboxing will be about giving agents a high-fidelity operating environment. I think the winners will have to get these three things right: 1. Full-capability sandboxes Most sandboxes people are hyping are not actually capable enough for serious agentic work. A useful coding agent needs to clone arbitrary repos, install dependencies, run tests, spin up services, debug failures, and iterate. For example, many production repos depend on Docker. If your sandbox cannot run Docker, it is probably not ready for the workflows agents are about to own. 2. Trusted credential handling The moment agents do real work, they need access to real systems. GitHub, Linear, Slack, GMail, cloud accounts, internal dashboards, deployment tools. You cannot just hand the model your secrets and hope for the best. The right abstraction is some version of a trusted proxy: the agent can request actions, but secrets stay controlled, scoped, audited, and revocable. 3. Agent-to-agent communication Today, most sandboxed agents are isolated workers. I do not think that will last for long. The future probably looks more like fleets of specialized agents, each with different tools, permissions, memories, and objectives. Some review code. Some reproduce bugs. Some run benchmarks. Some test security. Some interact with external apps. Those agents will need to talk to each other, delegate, verify, and coordinate. So the sandbox stops being a box, and it starts to become more of a network substrate. That is why I think this market is still wide open. Nobody really knows what the agentic software stack will look like yet. But I am absolutely confident that the winning sandbox provider will not be the one that starts fastest. It will be the one that safely enables agents to do real work.

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Gal Dayan
Gal Dayan@galdayan1895·
Last day to apply to @a16z @speedrun SR007. As an a16z speedrun scout, I've already referred 2 startups who got accepted Sell me your product in one sentence. I will rate each of them with one sentence feedback. Those who are above 9, I will reach out directly and schedule an instant meeting.
Gal Dayan tweet media
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Manish
Manish@mkagenius·
final output after 8 hours of "thinking" by top llm models
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Matt Shumer
Matt Shumer@mattshumer_·
@gdb Just closed my computer for the first time while a run was going. Such a freeing feeling.
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Matt Shumer
Matt Shumer@mattshumer_·
Just wiped the Mac Mini I set up for OpenClaw. I’m turning it into an always-on devbox to use with Codex mobile. Have a feeling this is gonna be amazing.
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