It has also enabled a few people to write code or plan out implementation details who haven't done so in a long (sometimes decade or more) time, and so I'm getting some bizarre suggestions.
Otherwise, it really does depend on what kind of code. I hand write prod code, and the only thing that AI can do is review it and point out bugs to me. But for other things, like a throwaway script to generate a bunch of data for load testing? Sure, why not.
I've kind of decided this is my last job, so when this company folds or fires me, I'm just going to retire to my cabin in the rural Louisiana woods, and my wife will be the breadwinner. I only have a few 10s of thousands left to make that home "free" (pay off the mortgage, add solar and batteries, plant more than just potatoes and tomatoes).
Though, post retirement, I will support my wife's therapy practice, and I have a goal of silly businesses that are just fun to do (until they arent), like my potato/tomato hybrid (actually just a graft) so you can make fries and ketchup from the same plant!
We should be friends. I like your ideas.
I'd like to get into grafting fruit trees, my uncle was a major fruit eater and filled the yard with many varieties of apples and pears. The apple tree where I live was a mess and I've jsut started the pruning to get it under control.
https://www.npr.org/2025/08/13/nx-s1-5494517/strange-but-tru...
Or I'll walk up to your desk and ask you to explain it.
It’s the asymmetric expectations—that one person can spew slop but the other must go full-effort—that for me personally feels disrespectful.
It's a breach of trust. I don't care if you're my friend, my boss, a stranger, or my dog - it crosses a line.
I value my time and my attention. I will willingly spend it on humans, but I most certainly won't spend it on your slop when you didn't even feel me worth making a human effort.
I've found that SoTA LLMs sometimes implement / design differently (in the sense that "why didn't I think of that"), and that's always refreshing to see. I may run the same prompt through Gemini, Sonnet, and Codex just to see if they'd come up with some technique I didn't even know to consider.
> don't forsee a need to review it myself either
On the flip side, SoTA LLMs are crazy good at code review and bug fixes. I always use "find and fix business logic errors, edge cases, and api / language misuse" prompt after every substantial commit.
What I've learned in 2 years of heavy LLM use - ChatGPT, Gemini, and Claude, is that the significance is on expressing and then refining goals and plans. The details are noise. The clear goals matter, and the plans are derived from those.
I regularly interrupt my tools to say, "Please document what you just said in ...". And I manage the document organization.
At any point I can start fresh with any AI tool and say, "read x, y, and z documents, and then let's discuss our plans". Although I find that with Gemini, despite saying, "let's discuss", it wants to go build stuff. The stop button is there for a reason.
Zizek had a great point about this.
But deep down I know that slop is noise and words no longer represent understanding.
