Web Development

The goal is to write small, clean, accessible HTML that works on any device, any browser, any screen, even without CSS or JavaScript. A smolwebsite should load on a smartphone from 2010, work in a text browser like Lynx, and be readable on a Braille display. Not because those are common cases, but because if your page works there, it works everywhere.

Hello, I was looking at WXT extension framework which supports multiple UI frameworks, but they are all JavaScript frameworks only. Is there any alternative way to write Firefox browser extension in a different language (like Rust / Python / Go, etc.) with minimal or no JavaScript, with a ok developer experience?

Transpilation to JavaScript is fine if it is well supported in Firefox with ok developer experience.

I also checked Dart but its support on Firefox does not seem great, like the extension only works on Chrome browsers.

Learn how to build a lightweight SPA router with true async crossfade page transitions using Vanilla JavaScript, GSAP, and Vite — no framework required.

About Deno:

Deno is an open-source JavaScript runtime for the modern web. Built on web standards with zero-config TypeScript, unmatched security, and a complete built-in toolchain.

Recently the idea of serving Markdown to AI agents has gained traction. Cloudflare wrote about it and built a dashboard toggle to convert responses to Markdown automatically, using content negotiation to detect whether the requesting client wants Markdown or HTML.

Just noticed that Stackoverflow has a new front end in Beta. I do not like it, however I slowly begin to fear im just another boomer. :( What do people on here think about it?

I think the beta looks just like any other weekend project with cookie cutter elements. There is nothing to differentiate it from other sites that are made after 2020. Current design is also way more concise Im not sure when we started using the whole widescreen for a website. Sure wasted screen estate is unfortunate but long mouse travel times are also uncool.

I'm putting together an API for a project, and one of the requirements is MFA. I'm using TOTP and that all works. I also have facilities to clear the MFA token and regenerate / re-enroll the secret, but I'm wondering what the best practice is for invoking that.

Essentially I need a "forgot password" but for their MFA method (e.g. if they lose their phone or MFA secret).

Would a valid password + validation email be sufficient? Or should I require the user to contact the administrators to reset the MFA? Or something else?

Implementation Notes:

• MFA is required for a password reset, so if their email is compromised, the attacker wouldn't necessarily be able to set a new password
• A valid email address is required and verified at signup.
• If they lose access to their email and MFA, they will have to contact the application administrators for assistance.
• This isn't a "high stakes" application (e.g not banking, healthcare, etc) but I do want to make sure accounts are reasonably secure.

cross-posted from: https://lemmy.bestiver.se/post/946712

Comments

cross-posted from: https://lemmy.bestiver.se/post/928726

Comments

I want to build a small site which acts as a broad, searchable FAQ for a certain topic.

Consider I have the FAQ:

What is the approximate mass of Earth?

It's 5.9722 × 10^24 kilograms, wow!

I want the user to have a chance at finding this FAQ by asking How heavy is our planet

Looking at this basically, the two similar questions have only one shared word, "is", which is an extremely common word. So using something really simple like word comparison or even stemming/lemmatization alone won't help.

On the very other end of the spectrum, a search engine's AI feature can interpret this effectively, rephrase the question and give a similar answer. So, what strategies are are in-between these two extremes?

1. A few people will be adding questions to the site regularly.

2. If possible, no external services, just self-hosting on an affordable server.

3. Simpler and lighter solutions are preferred.

Are any of the features in OpenSearch (ElasticSearch/Lucene fork) able to do this? Is it overkill?

Since the site will have new questions to match regularly, will a solution require the repeated, wasteful retraining of NLP models to to create weights? Or is training so efficient for small-scale text datasets that it's responsible and reasonable to do on a cheap low-end server?

edit: Just spitballing here, I could try a solution which does the bulk work at insert-time rather than runtime, by asking a general pre-trained language model to rephrase the question many different ways, or generate keywords, then use those responses to generate tags for a basic keyword search to match. This would avoid making a heavy search function or retraining any model on the server.

GPT-4o mini

Here’s a list of synonyms for the keywords in "What is the approximate mass of Earth?" formatted as an array of strings:

json

[
  "weight",
  "heaviness",
  "bulk",
  "load",
  "volume",
  "estimated",
  "rough",
  "approximal",
  "near",
  "close to",
  "planet Earth",
  "the globe",
  "the world",
  "Terra",
  "our planet"
]