https://turso.tech/blog/the-wonders-of-ai

Also, data centers, chips, and energy require massive working-class supply chains, and enterprise AI revenue depends on customers whose own revenue depends on regular consumers.

You seem to think I'm advocating for working your entire life. I'm just trying to share my lived experience so please take it easy.

There is some bitterness that's coming across in your response.

I'm not against early retirement. One of my points was that, in general, it's harder to find fulfillment as a working age adult outside of work. Not impossible, just more challenging.

I console myself with the fact that without a functioning economy, AI will implode since capital will dry up. Then all of the investment in data centers, R&D, etc. will never be recovered. Then we'll be back to rational thinking? Maybe?

Skills can include scripts, tools, etc.

The entire point of hooks is deterministic responses to signals from the LLM. You run a function in response to some event and the function is given json data that conforms to a specific schema.

Do you mean the AI will "figure out" how to just do the things we use skills and hooks for today? Do you understand the difference between deterministic and probabilistic behavior and why the difference matters a lot when doing technical tasks?

My own experience is that some things get better and some things get worse in perceived quality at the micro-level on each point release. i.e. 4.5->4.6

What's been the game changer are tools like Claude Code. Automatic agentic tool loops purpose built for coding. This is what I have seen as the impetus for mainstream adoption rather than noticeable improvements in ability.

To be more specific, the idea that step-cest warps children's minds is laughable when the larger issue is that 95% of porn portrays women as submissive sex dolls that exist for male pleasure. Don't forget the unrealistic expectations around body and beauty standards

Love the idea but the example they give with bears is absolutely hilarious. Calling bears dumb animals is offensive? God help us.

It's like a snake eating its own tail.

It's cheaper but not cheap

If you're building a variation of a CRUD web app, or aggregating data from some data source(s) into a chart or table, you're right. It's like magic. I never thought this type of work was particularly hard or expensive though.

I'm using frontier models and I've found if you're working on something that hasn't been done by 100,000 developers before you and published to stackoverflow and/or open source, the LLM becomes a helpful tool but requires a ton of guidance. Even the tests LLMs will write seem biased to pass rather than stress its code and find bugs.

Does it become exponentially harder to add the missing features or can you add everything else you need in another two days? I'm guessing the former but would be interested to see what happens.

Are you going to continue trying? I ask because it's only been two days and you're already on Show HN. It seems like if you waited for it to be more complete, it would have been more impressive.

Need it to one shot that report against your db using React/Typescript? Or pump out a web form that submits to your backend? works every time.

Need it to do something a little more creative? It frequently fails in subtle ways that aren't apparent until later.

In spite of this, Jira is bigger than ever.

Didn't seem to kill off the big SaaS players or even weaken them.

I don't see AI helping with this. From my experience, it seems like the opposite. It can help you write the code after you've deconstructed the problem yourself and know how to keep it in check.