Tell HN: I'm 60 years old. Claude Code has re-ignited a passion

Curious, what are you building?

Same here, 60 and few months and I'm excited about AI

Glad to see this. I was tired of seeing posts that are on the extremes - "death of software by AI" vs "AI can't do this and that".

I took a break from software, and over the last few years, it just felt repetitive, like I was solving or attempting to solve the same kinds of problems in different ways every 6 months. The feeling of "not a for loop again", "not a tree search again", "not a singleton again". There's an exciting new framework or a language that solves a problem - you learn it - and then there are new problems with the language - and there is a new language to solve that language's problem. And it is necessary, and the engineer in me does understand the why of it, but over time, it just starts to feel insane and like an endless loop. Then you come to an agreement: "Just build something with what I know," but you know so much that you sometimes get stuck in analysis paralysis, and then a shiny new thing catches your engineer or programmer brain. And before you get maintainable traction, I would have spent a lot of time, sometimes quitting even before starting, because it was logistically too much.

Claude Code does make it feel like I am in my early twenties. (I am middle-aged, not in 60s)

I see a lot of comments wondering what is being built -

Think about it like this, and you can try it in a day.

Take an idea of yours, and better if it is yours - not somebody else's - and definitely not AI's. And scope it and ground it first. It should not be like "If I sway my wand, an apple should appear". If you have been in software for long, you would have heard those things. Don't be that vague. You have to have some clarity - "wand sway detection with computer vision", "auto order with X if you want a real apple", etc.. AI is a catalyst and an amplifier, not a cheat code. You can't tell it, "build me code where I have tariffs replacing taxes, and it generates prosperity". You can brainstorm, maybe find solutions, but you can't break math with AI without a rigorous theory. And if you force AI without your own reasoning, it will start throwing BS at you.

There is this idea in your mind, discuss it with ChatGPT, Gemini, or Claude. See the flaws in the idea - discover better ideas. Discuss suggestions for frameworks, accept or argue with AI. In a few minutes, you ask it to provide a Markdown spec. Give it to Claude Code. Start building - not perfect, just start. Focus on the output. Does it look good enough for now? Does it look usable? Does it make sense? Is the output (not code) something you wanted? That is the MVP to yourself. There's a saying - customers don't care about your code, but that doesn't mean you shouldn't. In this case, make yourself the customer first - care about the code later (which in an AI era is like maybe a 30min to an hour later)

And at this point, bring in your engineer brain. Typically, at this point, the initial friction is gone, you have code and something that is working for you in real - not just on a paper or whiteboard. Take a pause. Review, ask it to refactor - make it better or make it align with your way, ask why it made the decisions it made. I always ask AI to write unit tests extensively - most of which I do not even review. The unit tests are there just to keep it predictable when I get involved, or if I ask AI to fix something. Even if you want to remove a file from the project, don't do it yourself - acclimatize to prompting and being vague sometimes. And use git so that you can revert when AI breaks things. From idea to a working thing, within an hour, and maybe 3-4 more hours once you start reviews, refactors, and engineering stuff.

I also use it for iterative trading research. It is just an experiment for now, but it's quite interesting what it can do. I give it a custom backtesting engine to use, and then give it constraints and libraries like technical indicators and custom data indicators it can use (or you could call it skills) - I ask it to program a strategy (not just parameter optimize) - run, test, log, define the next iteration itself, repeat. And I also give it an exact time for when it should stop researching, so it does not eat up all my tokens. It just frees up so much time, where you can just watch the traffic from the window or think about a direction where you want AI to go.

I wanted to incorporate astrological features into some machine learning models. An old idea that I had, but I always got crapped out because of the mythological parts and sometimes mystical parts that didn't make sense. With AI, I could ask it to strip out those unwanted parts, explain them in a physics-first or logic-first way, and get deeper into the "why did they do this calculation", "why they reached this constant", and then AI obviously helps with the code and helps explain how it matches and how it works - helps me pin point the code and the theories. Just a few weeks ago, I implemented/ported an astronomy library in Go (github.com/anupshinde/goeph) to speed up my research - and what do I really know about astronomy! But the outputs are well verified and tested.

But, in my own examples, will I ever let AI unilaterally change the custom backtesting engine code? Never. A single mistake, a single oversight, can cost a lot of real money and wasted time in weeks or months. So the engine code is protected like a fortress. You should be very careful with AI modifying critical parts of your production systems - the bug double-counting in the ledger is not the same as a "notification not shown". I think managers who are blanket-forcing AI on their employees are soon going to realize the importance of the engineering aspect in software

Just like you don't trust just any car manufacturer or just any investment fund, you should not blindly trust the AI-generated code - otherwise, you are setting yourself up to get scammed.

I’m on a field trip chaperoning my kid. I get a couple slack messages asking for some tweaks to a UI. I type a couple words into a Github AI Agent Session while riding the bus. Fixes are deployed to our staging env in 10 minutes.

Fucking wild.

I have this idea that probably violates some law of computing but I am really stubborn to make it happen somehow.

I want a game that generates its own mechanics on the fly using AI. Generates itself live.

Infinite game with infinite content. Not like no mans sky where everything is painfully predictable and schematic to a fault. No. Something that generates a whole method of generating. Some kind of ultra flexible communication protocol between engine and AI generator that is trained to program that protocol.

Develop it into a framework.

Use that framework to create one game. A dwarf fortress adventure mode 2.0

I have no other desires, I have no other goals, I don’t care. I or better yet - someone else, must do it.

I expect to have at least 15 more years in the workforce and I hate that I have to live through this "revolution". I worry about what will be final balance of lives improved vs lives worsened.

Building things as I read this.

My main worry is: what is the license on the code produced by Claude (or any other coding agent)? It seems like, if it was trained using open-source software, then the resulting code needs to be open-source as well and it should be compatible with the original source. Artwork produced by an AI cannot be copyrighted, but apparently code can be?

If the software produced is for internal use, the point is probably moot. But if it isn't, this seems like a question that needs to be answered ASAP.

I don't play games anymore. I just work on whacky ideas with LLMs. I even nuked my gaming PC and installed ollama+rocm to play with local models, run openclaw there to experiment with that too. It's a lot of fun. I feel like agents are particularly useful for people who are ADD and want to work on 10 things at once.

I’m on my 40s and building a platform to support my late cognitive decline. Tools that shaped human existence.

I get hate on only using cli. Glad someone else see's a different perspective

Everything in this post is proof that Anthropic will kill it when they go public. I believe in it, so does everyone else.

I am 37;

Claude Code and it's parallels have extinguished multiple ones.

I was able to steer clear of the Bitcoin/NFT/Passport bros but it turns out they infiltrated the profession and their starry puppy delusional eyes are trying to tell me that iteration X of product Y released yesterday evening is "going to change everything".

They have started redefining what "I have build this" actually means, and they have outjerked the executives by slinging outrageous value creation narratives.

> I’m chasing the midnight hour and not getting any sleep.

You are 60; go spend some time with your grand-kids, smell a flower, touch grass forget chasing anything at this age cause a Tuesday like the others things are gonna wrap up.

Absolutely sincerely.

Perhaps I shouldn't say this but I feel that with the current LLMs I've found "my people" :)

I see many comments here about Claude and I get the same feeling I get when I see comments about MacOS: it's nice that you're content with it, but I don't trust Apple/Anthropic for a fraction of an angstrom.

Wake me when we have ethically trained, open source models that run locally. Preferably high-quality ones.

This is the way. It's the most fun computers have been in decades.

I have bipolar disorder. The more frustrating aspects of coding have historically affected me tenfold (sometimes to the point of severe mania). Using Claude Code has been more like an accessibility tool in that regard. I no longer have to do the frustrating bits. Or at the very least, that aspect of the job is thoroughly diminished. And yes - coding is "fun again".

"Just when I thought I was out, they pull me back in"

Older here, equally excited. It's like programming with a team of your best buddies who are smarter than you but humble and eager to collaborate.

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I’m a 13 year lurker, first time commenter (Not sure why this post compelled me). I don’t think this is a genuine take. I don’t see how a 60 year old has any kind of joy for actual software creation suddenly from llms. It might be a joy in seeing software automatically be created but it’s definitely not doing the work. (I may be biased, I left the field 5 years ago) I doubt he’s spending any time fixing the software to make it near usable for anyone besides himself and the semi-working state the llm gave him. Meaning he’s going to have 10 or more half-finished projects again.