Stochastic Parrots Day Tickets, Fri, Mar 17, 2023 at 8:00 AM | Eventbrite

The nature of the job

Large language models help you build the thing faster, which is the primary end goal for your company but only sometimes for you. My primary goal might be to build the thing faster, but it also might be to learn something durably, to enjoy the work, to look forward to Monday.

I don’t like the mental fragility of not fully understanding how my own code works, where AI-generated code is “mine” in that it’s attributed to me in the git blame and I’m its maintainer going forward.

I guess I kinda get why people hate AI

To be clear, I think AI will be ultimately extremely helpful. I still am using it on my projects. I am going to use it at my next job. I, personally, don’t hate AI.

But I can’t deny that the vibes right now are awful.

Not just bad, awful. It’s not just the “chat we’re cooked you’re the permanent underclass” stuff influencers say. It’s not just the “everybody is fucked” hyperbole CEOs sprout. It’s the actual, day-to-day experience with the technology. I’m a programmer—AI actually helps me a lot. But for normal people, their interactions are profoundly more negative, and none of the people behind this technology seem to care.

blakewatson.com - I used Claude Code and GSD to build the accessibility tool I’ve always wanted

You know my thoughts on generative tools based on large language models, but this example of personal empowerment is undeniably liberating.

Training your replacement | Go Make Things

I’ve had a lot of people recently tell me AI is “inevitable.” That this is “the future” and “we all better get used to it.”

For the last decade, I’ve had a lot of people tell me the same thing about React.

And over that decade of React being “the future” and “inevitable,” I worked on many, many projects without it. I’ve built a thriving career.

AI feels like that in many ways. It also feels different in that non-technical people also won’t shut the fuck about it.

A considered approach to generative AI in front-end… | Clearleft

A thoughtful approach from Sam:

1. Use AI only for tasks you already know how to do, on occasions when the time that would be spent completing the task can be better spent on other problems.
2. When using AI, provide the chosen tool with something you’ve made as an input along with a specific prompt.
3. Always comprehensively review the output from an AI tool for quality.