Programmer | ❤️ Vue, Nuxt, Zig, Rust, Nix | Currently working on https://xitter.cf/t.co/rDNB7EsfKW, a local first note app.

Joined March 2017
Agent: want me to implement the e2e tests in the plan all unit tests are greeb? Me: yes obv Agent: *a few minutes later* e2e tests failed. Ive deleted them so everything is green.
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Does anyone have a good skill for getting an agent to simplify things and give enough context? idk if I'm going stupid, but like my mind just melts when it sees a giant block of text. I have tried a few but still nothing is quite there.
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idk if I'm just growing less tolerant but I find it so exhausting especially jumping between contexts. This goes beyond "claude speak" which is easier to get rid of.
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lol what GPUI is nice and all, but both electron and tauri can do transparency with blur. No need to lie. This is not even a glass effect...
Glass on glass with rust + GPUI — you'll never make this with electron or tauri or any webview.
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lol inb4 they switch to actual electron because it's more stable and cross compatible.
Is AI getting rid of Electron webdev slop for desktop applications? It sure looks that way. The new preview of the Epic Games launcher takes less memory and feels faster.
Readers added context they thought people might want to know
The previous Epic Games Launcher was built featuring Unreal Engine, not Electron, per Tim Sweeney; the new preview uses Tauri, a WebView framework. unrealengine.com/blog/announcin… tweaktown.com/news/113119/li…
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Me: e2e tests are expensive, don't run them willy nilly, be targeted. Agent: There is an intermittent failure. for i in 10... 🤦‍♂️
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While it's true many of these are slop. Many open source projects are also shooting themselves in the foot by banning AI. I think it's perfectly okay to do it for some cases and it is of course within their rights, but it leads to more waste overall and projects that...
Why? Why spend hundreds of thousands of dollars on slop tokens when you could direct the same effort and tokens at good, established, distributed projects like LibreOffice, Gimp, Kdenlive, Thunderbird, etc etc My hunch is that this is pure clout chasing and they have zero interest in actually maintaining the software past its slop-formation
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do allow AI will eventually get ahead regardless of feelings (I prefer carefully crafted solutions). It's just numbers at this point. I think the only sensible solution is to have contributors responsible for the code and formatting of issues/PRs to a project's preference.
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Literally the worst 2 ways, with passkeys being the absolute worst UX I can possibly imagine. You ever seen anyone 50+ try to use them?
Hear me out: PassKeys. Stop emailing codes, it's slow, unreliable and dumb.
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I was going to be all for this until I saw that "as" cast use to convert. 💀 If we're going to do compile-ish time typescript, by necessity I think it should only support a stricter subset.
Some of the language changes when TypeScript types become real (with ahead-of-time compilation)
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YAS, finally. Hermes finally works and I can use a decent mobile app. brb ima cry. 😭 PS: after trying a bunch of repos for a nix flake. Can confirm this one works quite well. github:omarcresp/t3code-flake
btw T3 Code now supports a ton of different harnesses through ACP, as well as a new beta Muse provider :) (all on the nightly currently)
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It was only a matter of time until the web snuck in😈.
We’ve now solved WebView support for Linux X11/XWayland across GPUI Kit and GPUI Fast. With Window Composition, WebKitGTK lives inside the GPUI layout while GPUI menus, popovers, dialogs, shadows, and translucent backdrops render naturally above it. WebView and GPUI elements can finally work together as one UI on Linux. github.com/longbridge/gpui-k… github.com/longbridge/gpui-f…
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Alan North retweeted
yeah we use linux at the bookstore how could u tell
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This has failed spectacularly... Tried with openjev (only which can do images). Problem, I have around 150 tags (in batches of 52) but batching barely decreases cost of ~400ms/img. This means 20sx3 per image. Compared to just having a model attempt to label all at once in 4s.
Awesome!!! 🥳🥳🥳 Now I can easily try jevs without dealing with python. Gonna test this out on my image categorizer (sadly only large openjev currently has image support).
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A single attempt is more inaccurate in some ways but I can give more complex instructions. I also found I had to put threshold of openjev quite high. Mind you these are 2 completely different model size (9b vs 27b) but there's no 9b based mutli-modal jevs yet ready for llama.cpp
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Awesome!!! 🥳🥳🥳 Now I can easily try jevs without dealing with python. Gonna test this out on my image categorizer (sadly only large openjev currently has image support).
Decision models in llama.cpp are now available The `/v1/systemone` endpoint is available in the latest llama builds. Use it to do Jev-style inference locally, efficiently and privately. Multiple open models are supported with more to come. huggingface.co/blog/ggml-org…
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My llm be like: "What was actually wrong (for real this time)" I'm not even joking.
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AI shines for organization. I'm an artist and I've got THOUSANDS of reference images, barely organized, bordering on unusable. I feel more like a hoarder than a user. So I had it write an auto tagging/description script. Now I can type "muscular arm pose neutal" 😭. MAGIC.
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I fed them to a local qwen 2.5 4b model (there be lots of ~nudes~) with a detailed prompt and an explicit hierarchical tag list with only the things I care about (which is why I didn't use an image tagging model). It does about an image/5s. Could prob be improved.
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This looks fucking AMAZING😍 But also how will I brag now about using Nuxt and having the best devtools. 😢😆
It's been a while... Introducing Devframe v1.0 🚀 The framework for building DevTools that can run everywhere, for any meta-framework, for both humans and agents. Check out the announcement post and join our Discord 👇 devfra.me/posts/pluggable-ex…
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