Oh wow, this is awesome! An ASCII wireframe editor that’s quick and fun to use, and you can also grab what you make as Markdown. Love it!
| https://twitter.com/Don_Frehulfer | |
| GitHub | https://github.com/frehulfd |
| Threads | https://www.threads.net/@dfrehulf |
| https://twitter.com/Don_Frehulfer | |
| GitHub | https://github.com/frehulfd |
| Threads | https://www.threads.net/@dfrehulf |
Oh wow, this is awesome! An ASCII wireframe editor that’s quick and fun to use, and you can also grab what you make as Markdown. Love it!
It's clear that AI assisted coding is dividing developers (welcome to the culture wars!). I've seen a few blog posts now that talk about how some people just "love the craft", "delight in making something just right, like knitting", etc, as opposed to people who just "want to make it work". As if that explains the divide.
How about this, some people resent the notion of being a babysitter to a stochastic token machine, hastening their own cognitive decline. Some people resent paying rent to a handful of US companies, all coming directly out of the TESCREAL human extinction cult, to be able to write software. Some people resent the "worse is better" steady decline of software quality over the past two decades, now supercharged. Some people resent that the hegemonic computing ecosystem is entirely shaped by the logic of venture capital. Some people hate that the digital commons is walled off and sold back to us. Oh and I guess some people also don't like the thought of making coding several orders of magnitude more energy intensive during a climate emergency.
But sure, no, it's really because we mourn the loss of our hobby.
RE: https://mastodon.social/@verge/116257692126567161
Delightful analysis of a real life “philosophical zombie”

ChatGPT can answer many questions.
It just answered the question why you should quit ChatGPT.
If you replace a junior with #LLM and make the senior review output, the reviewer is now scanning for rare but catastrophic errors scattered across a much larger output surface due to LLM "productivity."
That's a cognitively brutal task.
Humans are terrible at sustained vigilance for rare events in high-volume streams. Aviation, nuclear, radiology all have extensive literature on exactly this failure mode.
I propose any productivity gains will be consumed by false negative review failures.
I made an app.
https://play.google.com/store/apps/details?id=ch.pocketpc.nearbyglasses
Nearby Glasses is here to warn you when smart glasses are nearby.
I hope it's useful for someone.
The app is now open source (AGPL-3.0), the app is free and rather simple
https://github.com/yjeanrenaud/yj_nearbyglasses
It's also downloadable outside the Play Store. iOS port is in the making. F-Droid is an option, will have to look into that
Xcode 26.3 brings agentic coding powers. This quick starter covers the new capabilities and shows how to add custom skills to extend your AI-assisted workflow.
🔗: https://swiftwithmajid.com/2026/02/10/agentic-coding-in-xcode/ by Majid Jabrayilov (@Mecid)
Our World In Data posted a wonderful infographic yesterday.
All images are CC-BY, by Our World in Data.