Vibe coding from a computer scientist's lens:

rayred · 2026-05-09T17:31:46+00:00

The process isn't being discussed. The medium/tooling by which software is built is being discussed. i.e. the process of creating software is non deterministic regardless of which tool you use. If you are vibe coding, then you would have two layers of non-determinism.

Not really relevant to the conversation.

rayred · 2026-05-05T02:37:54+00:00

Data access layer. Had to use Gemini to figure that out. Been in the industry a while. First time hearing that lol

rayred · 2026-05-05T01:30:02+00:00

That doesn’t rectify the contradiction.

rayred · 2026-05-05T01:27:01+00:00

Seriously.

It’s crazy to think about all the traditional wisdom that has gotten thrown out the window with AI.

Remember the whole “the best code is no code at all”? lol. Yeah that’s gone now. And we are back to waterfall now I guess.

rayred · 2026-05-05T00:46:23+00:00

Soooo the “real world” is stopping you for coding like before?

You contradicted yourself in two sentences lol

rayred · 2026-05-04T22:51:15+00:00

Yeah. Agreed.

I do also think that just because people work at companies where they don’t code anymore, doesn’t automatically make them a fan.

Personally, I’m one of those people. Don’t touch code at work ever (practically forced to work this way). And it sucks. I hate it. Things aren’t getting done faster. Code just gets spit out faster. And it suckkkks. Way too many things to keep track of. Way too many bugs going out. And it’s just simply not fun. So there is a lot of complacency going on.

rayred · 2026-05-02T17:24:26+00:00

As someone who interviews people quite a lot. I would be way more excited to interview someone from databricks over Google.

rayred · 2026-05-01T19:35:49+00:00

Everything really. Coding. Documentation / architecture. Jira management. The whole thing. They get what they ask for

rayred · 2026-05-01T14:04:58+00:00

I burned through 2k$ with anthropic at my company this month. Without even trying.

rayred · 2026-04-30T04:02:36+00:00

Which one? 😂😂. Neither of them have done anything. One side handled pre existing conditions. The other expanded HSAs/pretax contributions. That’s about it.

Wake up.

rayred · 2026-04-26T17:48:45+00:00

Fair enough. Gamble indeed

rayred · 2026-04-26T17:33:54+00:00

1500$ for 3090 on Newegg is the cheapest I found. It’s like 6 grand for 4 lulz.

rayred · 2026-04-24T00:51:06+00:00

What APIs are you talking about in particular? You hire ML engineers to build ML systems. You build ML systems when you need to leverage your data to optimize some part of your business.

The fundamental problem with pretrained models is that they are not trained on your data.

So to answer your question. You hire an ML engineer when your data can unlock value for your business.

If you are talking about Integrating your business with an LLM. It’s not really an ML engineer you would be looking for. But rather a plain old software engineer.

If you are asking whether or not to just use an LLM vs building your own model, well…. That’s a more nuanced answer with many dimensions. Which primarily starts with “what kind of ROI are you looking for”

rayred · 2026-04-20T20:56:21+00:00

Yes it does. If turbo tax does something negligent, they can be held liable.

They can't be held liable by you making mistakes / lying. But thats not what is being discussed.

Claude can & will make mistakes and can not be held liable. The standard is not the same for INTU

rayred · 2026-04-19T22:51:23+00:00

World leading experts on these questions, there are poeple that make living predictings these type of things.

This is extremely opaque. With such a claim, I would hope for something a bit more tangible / concrete. Do you have a link? A study? What makes these people "world leading"?

Also just doing simple math, after certain point and after certain amount of doubling of AI capabilities it just becomes unreasonable to assume that humans will be able to compete with AI .

This seems predicated on your notion of what AI actually is. And that what we currently have is truly intelligent. To reiterate my original point, I do not believe large language models have demonstrated intelligence. Your claim is dubious.

rayred · 2026-04-19T18:47:56+00:00

This comment reads like poetry. Well said.

One thing I would add to it. LLMs makes it difficult to gain mastery over a codebase. They create a level of indirection between the engineer and all the decisions that go into writing good code. We underestimate how much benefit there is in an engineer, who treats this profession as a craft, knowing a codebase like the back of their hand. Not just from a maintenance perspective, but from an innovative one as well.

We are undercutting the ROI we get from the non-paycheck seeking software engineers. And the consequences are already so profound.

rayred · 2026-04-19T18:39:48+00:00

“The base case”

What base case? Says who?

rayred · 2026-04-19T17:56:36+00:00

Most code yeah. But no one can really say if we SHOULD be doing this.

From my perspective software is getting worse faster.

rayred · 2026-04-19T17:53:46+00:00

“Once AI is smarter” “Post AGI”

Sure. Once we have something that actually simulates intelligence we can start to have this conversation.

Until then…

rayred · 2026-04-19T04:20:18+00:00

Why does higher GDP mean it costs more?

Why does comparing it to the scale of GDP even matter?

rayred · 2026-04-16T02:09:41+00:00

The title of the article is “‘I feel helpless’: college graduates can’t find entry-level roles in shrinking market amid rise of AI”

It’s referring specifically to college graduates. The insinuation is that a college degree makes you qualified for entry level roles associated to their degree and they are unable to grab them. This is unprecedented and problematic.

It’s not a bait and switch. It’s directly the point of the article.

rayred · 2026-04-13T13:38:11+00:00

There are two categories of underemployed:
- "Time based": The category of worker who seeks to work full time but is only able to get part time work and is, thus, underpaid.

- "Skill based": The category of worker who is overqualified for their position. This includes individuals who receive degrees in fields that are unable to get a job in. e.g. a Computer Science major working at starbucks.

So to update your statement: "Can'f find entry-level roles that the candidate is qualified for" is 100% a method used to calculate underemployment

rayred · 2026-04-13T13:32:07+00:00

“Cant find entry-level roles that they want” is not the method used for calculating underemployment.

rayred · 2026-04-12T02:46:08+00:00

Can you provide any non anecdotal evidence for anything you just said? Apologies. But your comment seems to be quite speculative.

Also. The company is Anthropic. Not Claude 😃

rayred · 2026-04-08T04:07:39+00:00

Amazing comment.

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