sillyboi

It would be awesome to put an interactive example right in the article.

Why don't SSDs trust websites anymore?

Because every time they open up, the site gives them the F̶R̶O̶S̶T̶ cold shoulder.

I just tried Opus 4.8 (Ultracode xhigh + workflows), and it started throwing an error no matter what I sent to the chat: "API Error: 400 message.1.content.4: thinking or redacted_thinking blocks in the latest assistant message cannot be modified. These blocks must remain as they were in the original response."

Nice work. It's refreshing to see a simple and local-first Tauri app instead of another one CLI/TUI tool.

It feels like a change in department leadership and management, or an internal power struggle over a lucrative piece of the project (with all the consequences that typically come with it). In the end, it seems more about satisfying personal egos than serving the product, and the end users will be the ones left to “appreciate” the results.

Oh, another new trend! I love these home-brewed LLM optimizers. They start with XML, then JSON, then something totally different. The author conveniently ignores the system prompt that works for everything, and the extra inference work. So, it's only worth using if you just like this response style, just my two cents. All the real optimizations happen during model training and in the infrastructure itself.

There's a Doom Box plan but no Boom Box

The real win here isn’t just performance,it’s convergence.

When ReadableStream behaves the same in the browser, Workers, and other runtimes, stream-based code becomes portable and predictable. That reduces subtle backpressure bugs and eliminates “works here but not there” edge cases.

Standardization at the streams layer is a big deal for building reliable streaming systems across environments.

Sgai pronounced “Sky.” The letters “S” and “G” just showed up to watch.

I’d like to add an obvious point that is often overlooked.

LLMs take on a huge portion of the work related to handling context, navigating documentation, and structuring thoughts. Today, it’s incredibly easy to start and develop almost any project. In the past, it was just as easy to get overwhelmed by the idea of needing a two-year course in Python (or any other field) and end up doing nothing.

In that sense, LLMs help people overcome the initial barrier, a strong emotional hurdle, and make it much easier to engage in the process from the very beginning.

Let's call it Murby :)

Internal server error..

Looks great, but it lags a bit on my phone with a Snapdragon 855 and 12 GB of RAM. I really like the vehicle controls.

It would be a good idea to put some eye-catching example of a hotel room in the article headline, like an image of a shower without a door, just for visual impact. As for me, I’ve come across hotels where the shower is visible from the bedroom, separated only by a glass wall. Lol, that’s probably the next level.

I suppose it's just a click bait title, so nothing special

I'd say nothing kills the web more than hiding the “reject all cookies” button and covering the whole page with a popup until you accept. So I think we’re safe for now.

I meant the website.

Honestly, this approach feels like it adds a lot of unnecessary complexity. It introduces a custom serialization structure that can easily lead to subtle UI bugs and a nightmare of component state tracking. The author seems to be solving two issues at once: large payloads and stream-structured delivery. But the latter only really arises because of the former.

For small to medium JSON responses, this won't improve performance meaningfully. It’s hard to imagine this being faster or more reliable than simply redesigning the backend to separate out the heavy parts (like article bodies or large comment trees) and fetch them independently. Or better yet, just use a proper streaming response (like chunked HTTP or GraphQL @defer/@stream).

In practice, trying to progressively hydrate JSON this way may solve a niche problem while creating broader engineering headaches.

Sorry, but it would be great to adapt it for the mobile layout.

It would be great to see an up-to-date benchmark comparing modern cross-platform frameworks like Tauri, Flutter, Electron, React Native, and others.

Key metrics could include:

- Target bundle size

- Memory usage (RAM)

- Startup time

- CPU consumption under load

- Disk usage

- e.t.c.

Additionally, for frameworks like Tauri, it would be useful to include a WebView compatibility matrix, since the rendering behavior and performance can vary significantly depending on the WebView version used on each platform (e.g., macOS WKWebView vs. Windows WebView2, or Linux GTK WebKit). This divergence can affect both UI fidelity and performance, so capturing those differences in a visual format or table could help developers make more informed choices.

Cool! Are you planning to add support for a mobile layout?

As they say, "With great power comes great responsibility." Or in this case, with great printer access comes great pranking potential!

At least three detections on VirusTotal, but I'm not sure if it's significant.

ClamAV: Js.Trojan.Obfus-48

Cylance: Unsafe

Google: Detected

Cool, but the input response is super slow. Like, when I’m typing fast on my phone (yeah, I’m that crazy Gen-Z who types a thousand words per minute on mobile), it just can’t keep up. Instead of ‘This is a test,’ I got ‘his i aes.’ It’s probably an architectural bottleneck that’s hard to fix. Also, I noticed you can’t select and copy text, which is a major headache for custom GUI implementation. Happy holidays and good vibes to everyone!

I just wanted to say how delighted I am with your web app! This is fantastic idea, and the execution is top-notch. It is incredibly user-friendly and intuitive. It has all the essential features needed to create beautiful and unique snowflakes. This really helps and makes the process of creating snowflakes easy and enjoyable. Your app is a wonderful way to lift spirits and get into the holiday mood!

Thank you for creating such a delightful tool. Wishing you and everyone a festive season!

It would be great to make good flutter support for embedded devices