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Some exciting news - Dioxus Labs is joining Cognition!
We'll be continue to work on Dioxus as usual, but also helping make Devin, the leading cloud agent, 1000x better.
We're extremely grateful to Cognition for the support and excited to see where the future takes us together.
We'll be continue to work on Dioxus as usual, but also helping make Devin, the leading cloud agent, 1000x better.
We're extremely grateful to Cognition for the support and excited to see where the future takes us together.
We have some very big news to share. 🎉
Today, Dioxus Labs is joining @cognition to accelerate the development of Devin, Cognition’s autonomous cloud coding agent.
We are excited to continue building Dioxus while also helping Cognition shape the future of software engineering.
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Dioxus 🧬 retweeted
these mfs code scanned dioxus and then came to my desk saying they had bad news
"oh no we reduced up dioxus compile times by 60%"
worried I almost lost my job for a sec
go build some crazy code scans!
"oh no we reduced up dioxus compile times by 60%"
worried I almost lost my job for a sec
go build some crazy code scans!
Some engineering tasks require reasoning across the codebase: Which code is safe to delete? What queries are slowing performance?
Introducing Code Scans: codebase-wide audits for any goal. Devin investigates, reports findings, and opens the PRs. Powered by Agentic MapReduce.
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We helped ship this!
You can now build Dioxus apps in @devin across all major operating systems.
My favorite feature of this new release: the dedicated iOS simulator tab.
Butter smooth simulator streaming with smart element picking.
x.com/cognition/stat…
You can now build Dioxus apps in @devin across all major operating systems.
My favorite feature of this new release: the dedicated iOS simulator tab.
Butter smooth simulator streaming with smart element picking.
x.com/cognition/stat…
Special delivery: Devin just got a Mac 🍎
Now Devin can:
1. Build & test apps on its own Mac VM with iOS simulator
2. Send a screen recording via Slack
3. Send a TestFlight link so you can start using it 📲
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Dioxus 🧬 retweeted
Welcome @jkelleyrtp and the entire Dioxus team to Cognition!
Dioxus is one of the most beloved open source Rust frameworks. We're proud to continue supporting Dioxus, Blitz, Taffy, and Subsecond while bringing the team's expertise to Devin's VM, computer use, and testing.
Dioxus is one of the most beloved open source Rust frameworks. We're proud to continue supporting Dioxus, Blitz, Taffy, and Subsecond while bringing the team's expertise to Devin's VM, computer use, and testing.
We have some very big news to share. 🎉
Today, Dioxus Labs is joining @cognition to accelerate the development of Devin, Cognition’s autonomous cloud coding agent.
We are excited to continue building Dioxus while also helping Cognition shape the future of software engineering.
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Read more about our thoughts and the bright future of Dioxus on our blog!
dioxuslabs.com/blog/joining-c…
dioxuslabs.com/blog/joining-c…
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Dioxus 🧬 retweeted
For no particular reason, an appeal to OpenAI and Anthropic: Donate tokens and ideally meat proxies to systematically rewrite all commonly used C-based libraries like image and video codecs, database drivers, etc. in memory-safe languages like Rust.
There is an absolute tsunami of vulns being discovered. We have to act.
There is an absolute tsunami of vulns being discovered. We have to act.
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Cloudflare building on Blitz to power the agentic web!
modular HTML/CSS engines ftw!
github.com/dioxusLabs/bli…
so excited to see this finally released
modular HTML/CSS engines ftw!
github.com/dioxusLabs/bli…
so excited to see this finally released
It turns out you can run a full browser implementation in a Worker. No container needed.
I didn't believe it myself when they first told me. Absolutely crazy project.
blog.cloudflare.com/kitesurf/
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If this excites you, consider contributing to Blitz. We're getting closer and closer to fully production-grade browser rendering quality.
Clearly close enough for Cloudflare :)
There's still lots of features and improvements to be made, come contribute!
Clearly close enough for Cloudflare :)
There's still lots of features and improvements to be made, come contribute!
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Dioxus 🧬 retweeted
While the editor was an experimental toy project, this is how we use blitz in production at @ploutosai
All this UI is 100% pure rust, rendered with miniquad.
@dioxuslabs dioxus/blitz might be the answer to an age old "Are We GUI Yet" question.
All this UI is 100% pure rust, rendered with miniquad.
@dioxuslabs dioxus/blitz might be the answer to an age old "Are We GUI Yet" question.
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Dioxus 🧬 retweeted
why: I am so tired of worrying about & spending lots of time fixing memory leaks and crashes and stability issues. it would be so nice if the language provided more powerful tools for preventing these things.
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dioxus / blitz in your terminal 👀
The terminal hasn’t changed much since the 1970s. What you do with it has.
Introducing Devin for Terminal: everything we learned building Devin, now as a local agent, available right in your shell.
And when your work outgrows your laptop, hand it off to the cloud.
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Dioxus 🧬 retweeted
On DeepWiki and increasing malleability of software.
This starts as partially a post on appreciation to DeepWiki, which I routinely find very useful and I think more people would find useful to know about. I went through a few iterations of use:
Their first feature was that it auto-builds wiki pages for github repos (e.g. nanochat here) with quick Q&A:
deepwiki.com/karpathy/nanoc…
Just swap "github" to "deepwiki" in the URL for any repo and you can instantly Q&A against it. For example, yesterday I was curious about "how does torchao implement fp8 training?". I find that in *many* cases, library docs can be spotty and outdated and bad, but directly asking questions to the code via DeepWiki works very well. The code is the source of truth and LLMs are increasingly able to understand it.
But then I realized that in many cases it's even a lot more powerful not being the direct (human) consumer of this information/functionality, but giving your agent access to DeepWiki via MCP. So e.g. yesterday I faced some annoyances with using torchao library for fp8 training and I had the suspicion that the whole thing really shouldn't be that complicated (wait shouldn't this be a Function like Linear except with a few extra casts and 3 calls to torch._scaled_mm?) so I tried:
"Use DeepWiki MCP and Github CLI to look at how torchao implements fp8 training. Is it possible to 'rip out' the functionality? Implement nanochat/fp8.py that has identical API but is fully self-contained"
Claude went off for 5 minutes and came back with 150 lines of clean code that worked out of the box, with tests proving equivalent results, which allowed me to delete torchao as repo dependency, and for some reason I still don't fully understand (I think it has to do with internals of torch compile) - this simple version runs 3% faster. The agent also found a lot of tiny implementation details that actually do matter, that I may have naively missed otherwise and that would have been very hard for maintainers to keep docs about. Tricks around numerics, dtypes, autocast, meta device, torch compile interactions so I learned a lot from the process too. So this is now the default fp8 training implementation for nanochat
github.com/karpathy/nanoc…
Anyway TLDR I find this combo of DeepWiki MCP + GitHub CLI is quite powerful to "rip out" any specific functionality from any github repo and target it for the very specific use case that you have in mind, and it actually kind of works now in some cases. Maybe you don't download, configure and take dependency on a giant monolithic library, maybe you point your agent at it and rip out the exact part you need. Maybe this informs how we write software more generally to actively encourage this workflow - e.g. building more "bacterial code", code that is less tangled, more self-contained, more dependency-free, more stateless, much easier to rip out from the repo (x.com/karpathy/statu…)
There's obvious downsides and risks to this, but it is fundamentally a new option that was not possible or economical before (it would have cost too much time) but now with agents, it is. Software might become a lot more fluid and malleable. "Libraries are over, LLMs are the new compiler" :). And does your project really need its 100MB of dependencies?
This starts as partially a post on appreciation to DeepWiki, which I routinely find very useful and I think more people would find useful to know about. I went through a few iterations of use:
Their first feature was that it auto-builds wiki pages for github repos (e.g. nanochat here) with quick Q&A:
deepwiki.com/karpathy/nanoc…
Just swap "github" to "deepwiki" in the URL for any repo and you can instantly Q&A against it. For example, yesterday I was curious about "how does torchao implement fp8 training?". I find that in *many* cases, library docs can be spotty and outdated and bad, but directly asking questions to the code via DeepWiki works very well. The code is the source of truth and LLMs are increasingly able to understand it.
But then I realized that in many cases it's even a lot more powerful not being the direct (human) consumer of this information/functionality, but giving your agent access to DeepWiki via MCP. So e.g. yesterday I faced some annoyances with using torchao library for fp8 training and I had the suspicion that the whole thing really shouldn't be that complicated (wait shouldn't this be a Function like Linear except with a few extra casts and 3 calls to torch._scaled_mm?) so I tried:
"Use DeepWiki MCP and Github CLI to look at how torchao implements fp8 training. Is it possible to 'rip out' the functionality? Implement nanochat/fp8.py that has identical API but is fully self-contained"
Claude went off for 5 minutes and came back with 150 lines of clean code that worked out of the box, with tests proving equivalent results, which allowed me to delete torchao as repo dependency, and for some reason I still don't fully understand (I think it has to do with internals of torch compile) - this simple version runs 3% faster. The agent also found a lot of tiny implementation details that actually do matter, that I may have naively missed otherwise and that would have been very hard for maintainers to keep docs about. Tricks around numerics, dtypes, autocast, meta device, torch compile interactions so I learned a lot from the process too. So this is now the default fp8 training implementation for nanochat
github.com/karpathy/nanoc…
Anyway TLDR I find this combo of DeepWiki MCP + GitHub CLI is quite powerful to "rip out" any specific functionality from any github repo and target it for the very specific use case that you have in mind, and it actually kind of works now in some cases. Maybe you don't download, configure and take dependency on a giant monolithic library, maybe you point your agent at it and rip out the exact part you need. Maybe this informs how we write software more generally to actively encourage this workflow - e.g. building more "bacterial code", code that is less tangled, more self-contained, more dependency-free, more stateless, much easier to rip out from the repo (x.com/karpathy/statu…)
There's obvious downsides and risks to this, but it is fundamentally a new option that was not possible or economical before (it would have cost too much time) but now with agents, it is. Software might become a lot more fluid and malleable. "Libraries are over, LLMs are the new compiler" :). And does your project really need its 100MB of dependencies?
How to build a thriving open source community by writing code like bacteria do 🦠. Bacterial code (genomes) are:
- small (each line of code costs energy)
- modular (organized into groups of swappable operons)
- self-contained (easily "copy paste-able" via horizontal gene code are small, modular, self-contained and trivial to copy-and-paste, the community can thrive via horizontal gene transfer. For any function (gene) or class (operon) that you write: can you imagine someone going "yoink" without knowing the rest of your code or having to import anything new, to gain a benefit? Could your code be a trending GitHub gist?
This coding style guide has allowed bacteria to colonize every ecological nook from cold to hot to acidic or alkaline in the depths of the Earth and the vacuum of space, along with an insane diversity of carbon anabolism, energy metabolism, etc. It excels at rapid prototyping but... it can't build complex life. By comparison, the eukaryotic genome is a significantly larger, more complex, organized and coupled monorepo. Significantly less inventive but necessary for complex life - for building entire organs and coordinating their activity. With our advantage of intelligent design, it should possible to take advantage of both. Build a eukaryotic monorepo backbone if you have to, but maximize bacterial DNA.
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Dioxus 🧬 retweeted
A new Rust meetup group is forming....in the East Bay! Come to the very first East Bay Rust meetup on Feb 18, hosted at @blocks Oakland office. All Rust 🦀, and some AI.
Speakers include Bradley Axen from @goose_oss, Brendon O'Brien from number0, @jkelleyrtp from @dioxuslabs, and @radgendervibes from Zed!
Link to sign up in the thread. 👇
Speakers include Bradley Axen from @goose_oss, Brendon O'Brien from number0, @jkelleyrtp from @dioxuslabs, and @radgendervibes from Zed!
Link to sign up in the thread. 👇
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🎉 Introducing SkyVM 🎉
Instant-boot cloud desktop VMs.
Comes with:
- Full macOS, Windows, Linux support
- Instant memory snapshot, share with URL
- Advanced computer-use tools
- Direct SSH and VNC access
- Integrated Claude Code + Codex ‼️
Written entirely in Rust + Dioxus.
Instant-boot cloud desktop VMs.
Comes with:
- Full macOS, Windows, Linux support
- Instant memory snapshot, share with URL
- Advanced computer-use tools
- Direct SSH and VNC access
- Integrated Claude Code + Codex ‼️
Written entirely in Rust + Dioxus.
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VMs are integrated with claude code and codex. You can point the agent at a github issue or pull request and give it a long-running task.
Close your laptop and check in later.
Close your laptop and check in later.
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If you tag skyvm in github, slack, discord, etc, we'll spawn a new VM and give Claude Code your task.
Easy way to test out bug fixes and preview deploys of native apps without pulling and testing the changes manually.
Easy way to test out bug fixes and preview deploys of native apps without pulling and testing the changes manually.
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