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cmar00

7 カルマ登録 11 か月前
My webiste: manyapis.xyz Contact me here: [email protected]

投稿

Ask HN: I hate coding agents. Is this skill issue?

17 ポイント·投稿者 cmar00·一昨日·16 コメント

コメント

cmar00
·1 時間前·議論
Very good point!
cmar00
·1 時間前·議論
So do you still use agentic programming? What percentage of code do you write yourself and what percentage do you hand off to AI?
cmar00
·21 時間前·議論
Thank you so much for suggesting this, I will definitely enjoy reading it!
cmar00
·21 時間前·議論
Yep, I think right now one of the best use cases is one-off disposable code for things that I don't really care about and don't want to do. At least, that's what I'm mostly using them for
cmar00
·21 時間前·議論
Well, there's mass hysteria at the moment. I'm lucky enough to be self employed right now, but there definitely are people being forced to use them by their bosses
cmar00
·一昨日·議論
Yes! Yes! Yes! The band-aid patches! I really hate that.

Regarding old API regression, I think that's because the LLM sees a lot more examples of deprecated APIs throughout the code, than new replacements you just introduced. You could try forcing it to immediately replace old calls to deprecated endpoints, then actually removing the definition completely, so that you reduce the number of bad examples and increase that of good examples
cmar00
·一昨日·議論
I do read the commits and really try to understand what the model is trying to do. However, I think this conflicts against what we are really trying to do here: - We want to code faster so we use LLMs - We want to still be in charge, so we spend a lot of time reading and understanding every single commit and review PRs.

Before, we used to build a mental model of the code with every new line of code we wrote. That took time, but the result was a very solid understanding. Now we try to build the mental model by just looking at what the LLM produces. Similar to how students who spend most of their time practicing what they are studying with actual exercises achieve higher grades than those who just read the book, we are now at a disadvantage against our old selves who made the effort of writing the code.

Moreover, an LLM produces code a lot faster than we can read and understand. If we want to achieve an actual speedup in code output, there's no way we can read and understand everything and be faster than before. We have to sacrifice the understanding of some parts. This compounds over time and we quickly get into a place of total reliance on LLMs.

Regarding addiction: I also think these devices are addictive. They do open a lot of new doors for us builders. But I think hour grey matter hardware is not built of this speed. Give it time, the more project ideas you start spinning up, the sooner you'll reach burnout.