The asteroid currently hitting front end web development

My wife's experience is managing teams and has been involved in creating corporate websites using contractors. She doesn't know anything about html at all. She just manages people.

She's now working on a biotech start-up pre-funding. They have pretty much zero money. They want to redesign their website.

I set her up with my deepseek key and she's been using flash-v4 with image detection (I think deepseek says it's still experimental). She just provides the current website, tells how she wants it to look and it works great. I mean it's obviously ai generated but she gets quick results and is able to tweek things to look better by just telling deepseek what to do. She was even able to change the text in one of their images to its new product name without having to contact the graphic designer.

This is a simple example. Basically it's one of those earlier jobs that you could get someone to bid on for $x but now you can do yourself for $20.

> The frontend is less risky to just hand to an agent.

The smaller the problem, the less risky it is to do this, regardless of the nature of the problem. This is not a frontend-specific issue today.

In a related but less public way, I've found myself less motivated to write internal documentation at work. It feels like in a lot of cases, it'd be better for the reader to throw Claude at the codebase to explain things.

A separate document explaining how a system works can go out of date. While I'm quite good at highlighting the most important insights and non-obvious traits of a system, I'd still be guessing what the reader needs from my doc at the end of the day. Claude can answer questions based on what the reader is curious about and wants to learn.

Some types of document are still useful, namely higher-level directional or philosophical topics about the intention of a codebase. e.g. "we would like to eventually move X system to Rust for Y reason", "we chose mutable data structures over immutable in this part of the system because Z". But fewer than before.

Being a programmer in the era of AI now means configuring the AI and run environments to produce the sought result, than manipulating the code itself. It's like how C runs on top of assembly.

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writing about your dates with an ai prompt are not that interesting