I use AI coding assistants extensively, but I don’t vibe code
I do too, but I’m not sure to understand the difference.
I would love to build the dream bookmark manager for myself, just like I built an RSS reader and a photo-sharing website. I love AnyBox, but it’s not integrated with the rest of my workflow and doesn’t have a web version. This bookmark manager could be integrated into my RSS reader and gather data from Micro.blog Bookmarks, too. Still a lot to think about.
While waiting for Micro.blog next chapter, I’m playing with RSS feeds display strategies. This view is called “Journal”. Built using Claude Code and hosted on Vercel.
Building a custom branded Ghost theme for my main website with the help of Claude Code seems like an achievable goal, right?
It’s progressing well… 📺 👀
The speed at which Anthropic is adding new stuff to Claude and Claude Code on the desktop is impressive. Is OpenAI even competing?
This is becoming out of hand… 🤣 but it’s so fun! 🤷🏻♂️
Early this morning, using Craft Agents, I created a new skill that enables me to save my Micro.blog Bookmarks into a Craft collection. The agent figured out the Micro.blog API, the new collection schema and how to move things around. So cool. Any questions?
At this point, I have to admit, the only reason I’m keeping ChatGPT is its image-generation and analysis capabilities.
We're Making a Big Mistake
I believe that IT workers who are also passionate about gen AI are making a major misjudgment. We wrongly assume that the advances we observe in our field, such as the autonomous or semi-autonomous development of applications, also translate to sectors like medicine or law. This is a false generalization.
The field of IT heavily relies on strict formalism: the raw material consumed by LLMs. In the legal field, for example, this is not the case: it is much more complex. Laws, regulations, and judgments are generally written and presented in standardized forms, but the content is far from being as digestible formalism as lines of code written in a programming language. In my opinion, we should remember that when we share our enthusiasm for gen AI. We must be lucid while also setting the right expectations for decision-makers and lawmakers.