
Frontend engineer @indent / Building a code editor @athasindustries
Joined July 2024
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- Following600
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athas.dev retweeted
I like how Claude and vscode and ChatGPT apps are getting more bloated and slower with each release while athas or t3 ecosystem are doing shit for the fun of it and they actually land. I love open source so much bro
athas.dev retweeted
Docker Desktop felt too heavy for my daily use, so I built my own. Introducing Kuvo:
• 2.5 MB native Mac app
• Runs its own Docker engine in a tiny VM, so no Docker Desktop needed
• Works with existing docker and docker compose
• Built-in terminal into any container
• kuvo CLI: exec, shell, copy files. Made for agents
why do so many people copy (clone?) work of others, it’s very omnipresent in software these days. don’t they have personality or own ideas?
i’m often asked to copy this or that, but why would i do that instead of creating my own thing that is likely to end up better? i enjoy the process of creation, i don’t want to stand in one place. imo there’s no innovation in cloning.
Every software developer should own a potato PC. It's the easiest way to ensure your application is fast enough. Put your agents to work within it and watch the weight drop. There's no reason a machine from ten years ago shouldn't fly like superman.
athas.dev retweeted
FundMyCompute is live on product hunt! producthunt.com/products/fun… via @producthunt
athas.dev retweeted
Introducing FundMyCompute: a new model router with built-in community funding. Share what you're building. People back your project with compute credits. You use them to run AI models.
we just shipped Magic Sessions in Trylle
a new way to run longer coding tasks directly from your repos
try it on trylle.com
- start from an issue
- kick off a task
- test the change
- open the PR
here’s me taking a real issue all the way to a pull request
athas.dev retweeted
I can’t stress enough how little an idea matters compared to the agency of the people executing the idea.
I have had the privilege of knowing and sometimes even working with some of the most successful people (by various metrics).
The difference between mediocre and excellent work and outcomes is predominantly one of agency.
In practice this means: they dont wait for things to happen to them they go out and make things happen for them.
They don’t wait for someone else to do something, for someone to teach them, for someone to give them the path, etc. They just go out and find a way to do it.
I think the single biggest superpower these people have is the realization/belief that the world around them is completely mutable. Most everything that happens is because a person made it happen.
I used to tell people to look around the room you’re sitting in. Look at everything. Every noun. It almost all exists because a person willed it into existence. Nothing is stopping you from doing the same.
I see people online all the time dismissing someone else’s success because “I had that idea first” or whatever. I mean… yeah? If so then the difference is… you. So a bit of a self own whenever I hear that.
Number one tip: act with agency.
athas.dev retweeted
What took over 10 minutes in 1996, took 30 seconds in 2026.
charliedeets.com/posts/2026-…
athas.dev retweeted
Introducing fx, a tiny, open, native coding agent from Vercel Labs.
Originally an internal tool, fx is a harness and CLI written in Zig, optimized for research and embedding in larger systems. Today, we're open sourcing it.
fx is built on three principles:
1. Fast. A single native binary, no runtime to install. It cold starts in 10µs and does no unnecessary work or I/O before accepting input. fx is the answer to "how fast can a coding agent be?"
2. Light. The 6.3MiB binary uses single-digit megabytes of memory at baseline, made for instant installation and embedding in resource-constrained environments and agent sandboxes.
3. Open. Apache-2.0, model and provider agnostic, suitable for local and cloud inference. Its small core extends through skills, plugins, and MCP.
Minimalism is an obsession throughout the entire harness: system prompt, tools, features, binary. The goal was to keep context usage and time to first token low, and make fx optimal for model benchmarking, sandboxing, evals, and gyms.
You can use fx directly or embed it as infrastructure. The CLI feels more like a Unix shell than an IDE in the terminal: it preserves scroll history, produces minimal output, and uses complex TUI rendering very, very sparingly. Programmatically, 𝚏𝚡 𝚊𝚜𝚔 --𝚓𝚜𝚘𝚗 gives structured output, 𝚏𝚡 𝚊𝚌𝚙 connects to editors and other clients, and WebAssembly can even run the whole thing inside the browser (see: fx.sh/try).
Privacy is a design constraint: no product telemetry, sessions and usage stay local, and no source code or prompts are shared with any endpoint other than inference. With local inference and auto-updates off, fx is fully hermetic.
fx is experimental. Use at your own risk and expect frequent changes. Chat with us on X (fx.sh/xchat) or file issues (fx.sh/issues).
𝚌𝚞𝚛𝚕 -𝚏𝚜𝚂𝙻 𝚏𝚡.𝚜𝚑/𝚜𝚎𝚝𝚞𝚙.𝚜𝚑 | 𝚋𝚊𝚜𝚑
fx.sh/
athas.dev retweeted
We’re making better intelligence easier to access in ChatGPT for everyone:
- GPT-5.6 Sol now powers both Instant and deep reasoning for Plus & Pro users, delivering more factual, focused responses.
- Free & Go users get unlimited text chats with GPT-5.6 Luna starting tomorrow.
athas.dev retweeted
there's some number of failures between you and success and it's your job to get those over with as fast as possible – at San Francisco, CA
athas.dev retweeted

Sam Altman@samaJul 13
United States
United StatesConnected via WebAccount-level information, not a live location or per-post device.
come for the best model, stay because we don’t treat you with contempt






















