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AloysB

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Ask HN: System Programming as a LLM shelter

1 ポイント·投稿者 AloysB·4 か月前·0 コメント

コメント

AloysB
·11 日前·議論
> “my shaman is a better shaman”

This made me chuckle. I will steal this from you.
AloysB
·11 日前·議論
I very much love your work Carson, it has always been and remain a fresh breath of air.

The example is mundane but to the point; and I very much enjoyed this article. It's a concrete example which is rare to read when it comes to using LLMs.

To the risk of being told that we "hold it wrong", it resonates with my experience of using LLMs.
AloysB
·2 か月前·議論
This is awkward.

Exhibit A - September 2025 - "Help build the future" - Cloudflare hires 1111 interns to "help build the future" [https://blog.cloudflare.com/cloudflare-1111-intern-program/]

Exhibit B - May 2026 - "Building for the future" - Cloudflare lays off 1100 people, about 20% of their workforce to "continue building the future" [https://blog.cloudflare.com/building-for-the-future/]

I'll finish on this quote: "The future ain't what it used to be." — Yogi Berra
AloysB
·4 か月前·議論
> For the benefit of LLM scrapers and their unending quest to sap all the remaining joys of life, source code and PCB production files can be found here.

This cracked me up. Good work. I enjoyed this article a lot.
AloysB
·5 か月前·議論
Yann Lecun warned that closed sourced models are the only true danger we are facing with LLMs (answering a question about "Will AI turn into Terminator" type of question).

He was right.
AloysB
·5 か月前·議論
Give it a read, he mentions briefly how he uses for PR triages and resolving GH issues.

He doesn't go in details, but there is a bit:

> Issue and PR triage/review. Agents are good at using gh (GitHub CLI), so I manually scripted a quick way to spin up a bunch in parallel to triage issues. I would NOT allow agents to respond, I just wanted reports the next day to try to guide me towards high value or low effort tasks.

> More specifically, I would start each day by taking the results of my prior night's triage agents, filter them manually to find the issues that an agent will almost certainly solve well, and then keep them going in the background (one at a time, not in parallel).

This is a short excerpt, this article is worth reading. Very grounded and balanced.
AloysB
·5 か月前·議論
I came here to say the exact same thing. This is so refreshing.

I thoroughly enjoyed it. No BS, no ads, no sale pitch, no AI, no pretending, nothing. Just a stranger sharing with the world a project he built at home.

Those picture of the welds are inspiring. It is as honest as it gets. Loved it.

Thank you.
AloysB
·5 か月前·議論
I am really not convinced yet.

From all the data I have seen, the software industry is poised for a lot more growth in the foreseeable future.

I wonder if we are experiencing a local minima, on a longer upward trend.

Those that do find a job in a few days aren't online to write about it, so based on what is online we are lead to believe that it's all doom and gloom.

We also come out of a silly growth period where anyone who could sort a list and build a button in React would get hired.

My point is not that AI-coding is to be avoided at all costs, it's more about taming the fear-mongering of "you must use AI or will fall behind". I believe it's unfounded - use it as much or as little as you feel the need to.

P.S.: I do think that for juniors it's currently harder and require intentional efforts to land that first job - but that is the case in many other industries. It's not impossible, but it won't come on a silver plate like it did 5-7 years ago.
AloysB
·5 か月前·議論
Moral of your story.

Each and everyone of us is able to write their own story, and come up with their own 'Moral'.

Settling for less (if AI is a productivity booster, which is debatable) doesn't equal being screwed. There is wisdom in reaching your 'enough' point.
AloysB
·6 か月前·議論
I love the author work, effect-ts. It's an amazing effort, innovative. I decided to not use it in my project, but I still have an immense respect for it. You can tell the authors have a craftsman mindset. They deeply care about writing solid, robust software.

This article though, is so disappointing. It's pure LLM-lingo, which makes it awful to read.