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Ask HN: What do you do at work while the coding agent is working?

5 分·作者 py4·2个月前·7 评论

Google Antigravity Built an OS from a single prompt

antigravity.google
8 分·作者 py4·2个月前·9 评论

I Asked 3 AI Agents to "Make It Better" Until They Refused. Only One Did

pooyam.dev
1 分·作者 py4·4个月前·0 评论

The Priesthood of System Design

pooyam.dev
1 分·作者 py4·4个月前·0 评论

I Miss Coding

pooyam.dev
2 分·作者 py4·4个月前·0 评论

Browser Sessions Are All-or-Nothing

pooyam.dev
1 分·作者 py4·4个月前·0 评论

Ironies of Automation

en.wikipedia.org
4 分·作者 py4·4个月前·0 评论

Ask HN: How to avoid skill atrophy in LLM-assisted programming era?

18 分·作者 py4·6个月前·45 评论

Vibe Coding as 2025 word of the year in Collins dictionary

en.wikipedia.org
1 分·作者 py4·7个月前·1 评论

评论

py4
·2个月前·讨论
I understand the negative sentiment toward Altman, but just to be fair, how do we define 'lying'? How does his behavior compare to that of the average executive, or even the average human?

I don't particularly like the guy; I'm just curious to see if he is objectively a liar in a way that most engineers, executives, or humans are not, or if this perception is simply a bias stemming from the general negative sentiment toward him.
py4
·2个月前·讨论
you wait for it to finish then review or give feedback in the meanwhile? if it's the former, i'm curious about what you still do in the meanwhile
py4
·2个月前·讨论
sounds like a plan haha. How is OpenCode vs Claude Code orchestration? have you ever needed to modify the orchestration since it's open source? do you mind sharing more about your experience?
py4
·4个月前·讨论
I wrote my experience here: https://pooyam.dev/i-miss-coding
py4
·6个月前·讨论
I was saying it was not commoditized a decade ago, but i feel it's getting commoditized *now*. So you seem to be basically saying SWE is over and it's time to move on to something that is primarily based on human-human interaction?
py4
·6个月前·讨论
I honestly think a better title would be "how to stay relevant in LLM era"
py4
·6个月前·讨论
simple example: Claude Cowork was written entirely with claude code
py4
·6个月前·讨论
1. No, implementing well defined requirements were not commoditized a decade ago. You still have to come up with the design and proper (efficient,correct,...) solution that respects the requirements. it was and still is the skill set of a L4/L5 SWE.

2. If you think LLMs cannot help with navigating ambiguity and requirements, you are wrong. it might not be able to 100% crack it (due to not having all the necessary context), but still help a lot.
py4
·6个月前·讨论
i'm trying to see what i can do to stay relevant
py4
·6个月前·讨论
llm training/inference stack
py4
·6个月前·讨论
LLM is not hype. it has made and my colleagues who are NOT working on CRUD, way more productive
py4
·6个月前·讨论
Let's say you want to make an architectural change. There are two options:

1. Ask AI to come up with the different options and let you review it

2. You think about the options and ask AI for feedback

#1 is much faster but results in atrophy (you are not critically coming up with the architecture changes)

#2 uses your and AI skills but it's gonna be slower.

which one will you choose? currently i'm doing #1
py4
·6个月前·讨论
if it's able to do the interesting/engaging part faster than me, i don't see why i should not outsource to it (The same argument as why use LLM-assisted programming at all, you don't want to miss the productivity boost)