Some good debunking here: https://www.flyingpenguin.com/the-boy-that-cried-mythos-verification-is-collapsing-trust-in-anthropic/

Buddhist Copilot builds apps with sublime coding standards, and on the last iteration it runs rm -rf * .git before it recites a koan on impermanence.

I suspect the problem is that there are many developers nowadays who don’t care about code quality, actual engineering, and maintenance. So the people who are complaining are right to be concerned that there is going to be a ton of slop code produced by AI-bro developers, and the developers who actually care will be left to deal with the aftermath. I’d be very happy if lead developers are prepared to try things with AI, and importantly to throw the output away if it doesn’t meet coding standards. Instead I think even lead developers and CTOs are chasing “productivity” metrics, which just translates to a ton of sloppy code.

Here’s the vid: https://www.youtube.com/shorts/GAMkRJdu9j4

I don’t quite understand the concerns in the comments here. The original blog post seems reasonable: https://www.waterfox.com/blog/15-years-of-forking/#what-waterfox-is-in-2026

This is AI generated, isn’t it?

I like the trend of refining existing tools. You take tried-and-true commands and shave off the rough edges and quirks. I use ripgrep instead of grep, fd instead of find, scm_breeze on top of git, dust instead of du, duf instead of df, z over cd, and xh instead of curl

They posted a series of other AI-related blogs in July, August, and October:

• https://www.rsyslog.com/rsyslog-documentation-enters-a-new-era-with-ai-first-strategy/
• https://www.rsyslog.com/clarifying-ai-first-what-it-really-means-for-rsyslog/
• https://www.rsyslog.com/shipping-better-docs-with-ai-restructuring-module-parameters-for-clarity-and-consistency/
• https://www.rsyslog.com/introducing-the-rsyslog-commit-ai-assistant/
• https://www.rsyslog.com/new-rsyslog-ai-assistant-powered-by-digitalocean-gradient/

I’d recommend looking at Hedy. It was created to teach kids programming, with a smooth ramp from simple English-like statements all they way to full python, with formal syntax introduced very gradually.
https://hedy.org/
As a bonus, it also allows non-English speakers to use keywords in their native language.