harshdoesdev

5 ms·

1.
by harshdoesdev 2mo ago
Happy to answer questions about the encoding pipeline or anything else under the hood :)
2.
by harshdoesdev 2mo ago
thanks! you can also checkout demos built using webmotion @ https://webmotion.superhq.ai/ .
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by harshdoesdev 5mo ago
Hi guys, we are super excited about the launch of remote.superhq.ai - remote control for your dev environment. please do check it out and share your feedback.
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by harshdoesdev 5mo ago
i too wanted to purchase 5-6 3D printers and start a business - basically my version of goose farming after i leave the software dev space for the greater good of mankind :)
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by harshdoesdev 5mo ago
bhatti's cli looks very ergonomic! great job! also, yes, shuru was (still) a wrapper over the Virtualization.framework, but it now supports Linux too (wrapper over KVM lol)
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SETI Home, but for AI(github.com)
2 points by harshdoesdev 5mo ago|1 comments
7.
by harshdoesdev 5mo ago
Someone built a project called AgentFM that tries to use a peer-to-peer network of everyday computers to run AI workloads, similar to what SETI@home used to do for crunching radio telescope data.
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by harshdoesdev 5mo ago
nice! for most local workloads, it is actually sufficient. so, do you ship a complete disk snapshot of the machines?
9.
by harshdoesdev 5mo ago
+1. i built something similar called shuru.run because i wanted an easy way to set up microVM sandboxes to run some of my AI apps, and firecracker wasn't available for macOS (and, as you said, it is just too heavy for normal user-level
10.
by harshdoesdev 5mo ago
its a really innovative idea! very interested in the subsecond coldstart claim, how does it achieve that?
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by harshdoesdev 5mo ago
had to wait for two minutes just to refresh the PR page. their UI was always a bit clanky, this new wave of "AI productivity" is just making it worse.
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by harshdoesdev 5mo ago
thanks! depends on your machine but it is surprisingly lightweight since it uses Apple's Virtualization.framework under the hood. I have comfortably run 3-4 sandboxes on an 8GB Mac. you can also configure CPUs, memory and disk per sand
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Show HN: Run AI coding agents in real, local sandboxes, not Git worktrees(superhq.ai)
6 points by harshdoesdev 5mo ago|3 comments
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by harshdoesdev 7mo ago
glad you liked it! I am currently exploring options for Linux support. will share an update soon.
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by harshdoesdev 7mo ago
lume is a much more full featured VM manager, macOS and Linux VMs, API server, prebuilt images, python SDK etc. shuru is intentionally minimal.
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by harshdoesdev 7mo ago
apple container is more of a docker-style workflow, OCI images, registries, etc. shuru is just micro VMs with checkpointing, much simpler scope.
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by harshdoesdev 7mo ago
cool, would love to see it!
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by harshdoesdev 7mo ago
glad to hear it, that's exactly the thinking behind it. alpine is the only option right now yeah. what kind of dependencies are you running into issues with? would help me figure out what to prioritize next.
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by harshdoesdev 7mo ago
thanks! let me know how it goes
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by harshdoesdev 7mo ago
haven't thought about multi-agent communication yet. each sandbox is fully isolated which is the point. checkpoints help a bit here though, you can branch multiple agents from the same checkpoint so they all start from the same state.
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by harshdoesdev 7mo ago
OrbStack is great but it is solving a different problem. it's a full Docker Desktop replacement. shuru is just a thin layer over Virtualization.framework for spinning up throwaway sandboxes.
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by harshdoesdev 7mo ago
containers work fine for a lot of this. shuru is just what felt more natural to me. less config overhead and i wanted to learn by building it.
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by harshdoesdev 7mo ago
yeah, it just means everything runs on your machine. there are services like E2B, sprites.dev and others that give you sandboxes in the cloud. shuru runs VMs locally using Apple's Virtualization.framework, so nothing leaves your Mac.
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by harshdoesdev 7mo ago
Lima can do a lot of what shuru does if you set it up for it. the difference is mostly in defaults and how much you have to configure upfront. with shuru you get ephemeral VMs, no networking, and a clean rootfs on every run without touching
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Show HN: Local-First Linux MicroVMs for macOS(shuru.run)
213 points by harshdoesdev 7mo ago|66 comments
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Show HN: Neko – AI agent runtime that fits on a Raspberry Pi Zero 2W(github.com)
2 points by harshdoesdev 7mo ago|0 comments
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by harshdoesdev 1y ago
that's exactly the goal - aggregating context from slack, notion, and other services. but for now, it works a bit differently than just passing your repo context to cursor. right now, multiple team members can access the shared memory
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Show HN: We are fixing memories for AI Teams(supercontext.dev)
1 points by harshdoesdev 1y ago|3 comments
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Show HN: Browse the Web with Superpowers(usesuperpowers.app)
6 points by harshdoesdev 1y ago|0 comments
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Show HN: Supafine – Use simple prompts to generate or remix React UI components(create.supafine.app)
5 points by harshdoesdev 1y ago|3 comments

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