Tootfinder

This article by @… describes me this weekend, hacking away with Copilot on two Hugo websites (one new, one 10 years old) and being incredibly productive while at it (and I suck at golang templates)
https://

https://editor.p5js.org/isohedral/full/vJa5RiZWs

You remember that #XKCD #dependency comic, right?
Somebody built an interactive version of it: https://editor.p5js.org/isohedral/full…

📣📣📣 LLM-powered coding mass-produces technical debt. 📣📣📣
The expectations around them are sky-high, but many organizations are falling behind because of them. 📉
WHY IT MATTERS? CTOs lament slowdowns and production issues traced to company-wide rollouts of LLM-powered coding assistants. The AI promise clashes with the reality of technical debt and security issues. 🐛
Read more:

How To Use LLM-Powered Coding Assistants Safely: Risks & Best Practices
Learn how to gain the productivity benefits of LLM-powered coding assistants without introducing technical debt or security risks. Discover real-world pitfalls, expert insights, and governance best practices from Xebia.

📝How a 10’ coding session with copilot 🧑🏻‍💻 added tags to 10 years of blogging #hugo

Add tags automatically to this blog · Technical inconsistencies blog
When starting this blog, I didn’t think about adding tags. As time passed, I wondered about adding them, but back-filling them was a chore. But with LLMs, this can be done relatively quickly and easily: Pass the LLM some text, and it will happily tell you which tags you might use. And, while you’re at it, it can create the script to call the LLM on all the posts and the code to visualize tags (which were previously hidden).