I come from a time before PHP existed. Some of you do as well. It’s likely why I opposed the notion of a CMS. Because I felt like I didn’t need one. People like me eventually conceded to the idea of easy image uploads with thumbnail previews and all the niceties brought on by “Ajax”, etc. It was a long time ago, in a galaxy… I digress.
The Artificial Intelligence LLM was but a Dream
Things are different now. The AI will code it for you. It’s the same as using syntax highlighting, really.
Become a Medium member I’m definitely not a coder who thinks, “Oh shit, everyone can code now!” and care about that for some reason. Because,
1.) No. Everyone can’t code now. 2.) Not really.
I reflect upon: https://finga.studio It seems like it, but it didn’t happen magically. It took extensive knowledge of music theory, AND extensive knowledge of good software engineering principles. Sure, the AI wrote a lot of the code. That’s it’s very purpose, from the inception.
The point is: I say now more than ever, it makes sense to use a Framework like Laravel. Well? Maybe not. It makes sense to tell the LLM to write comments in the code. It would essentially be the same thing. What was once an advantage through abstraction is now an advantage through narration.
The AI Coding Co-pilot (to give it a name) is capable of understanding the logic in milliseconds. It doesn’t need Vue.js to make a Reactive application. Unless it wants to make it fancy.
Go with a framework, and let the AI go nuts on your ideas. That way, you can still participate in the forums.
The ajaxStardust Guitar Modes, Chords, Scales, and Piano Keyboard plus Pentatonic Trainer is available online now.
Read the instructions for using the Guitar Training tool.
Related Work: CONTRACT‑Style‑Comments (CSC)
The ideas explored in this article connect directly to my formalized framework CONTRACT‑Style‑Comments , now published as an open GitHub repository:
Access it the Contract-Style Comments repo on GitHub:
CSC provides a structured, three‑artifact governance model designed for both
human developers and stateless AI agents. It addresses the same core problem
discussed here:
how to prevent architectural drift and comprehension debt in systems touched
by AI.
Why CSC Matters in This Context
-
It externalizes invariants into
CONTRACT.md -
It externalizes reasoning into
WHY.md -
It externalizes operational truth into
QUICKSTART.md - It gives AI agents a safe, bounded interface
- It reduces the cognitive load that fuels comprehension debt
If this article resonated with you, CSC offers a practical implementation of the principles described here — a way to turn theory into operational clarity.