If you don't tend to think much in the first place or have low expectations, then yes

Most of recent issues, including this incident, happened not due to smart superintelligent "agents" taking over the world - chatbots and other text generators are about as intelligent amd powerful as a dead starfish - but due to the combined stupidity of the said chatbots amd lazy idiots who use them to hide their own incompetence and thus produce such embarassing mistakes. A few years ago, they would be fired for exposing secrets in plain text, but since their manager wanted an AI-Workflow...

Valid points, but you"d think "superintelligence" would "know" how to draw a pelican on a bike?

> 3x faster

Because the real bottleneck is really the velocity of development, right next to keeping the codebase small - right guys?

Code-generation velocity, and the absolute number of lines churned are 2 metrics AI tools can irrefutably benchmaxx, so the vendors highlight them.

Oh absolutely - the old saying about only having a hammer and seeing each problem as a nail applies.

On the positive side, they've decided to come down from "superintelligence", "superchanging workflows" and other bullshit to the actual feature - 3x speed of text generation. Which is not quite the problem that needed to be solved in software engineering, but as you said yourself...

Ah, here we go again.

> Like most new tech

It's nothing like "most new tech". Most new tech tends to be adopted early by young people and experienced techies. In this case it is mostly the opposite: The teens absolutely hate it, probably because the shitty AI content does not inspire the young mind, and the experienced techies see it for what it is. I've never seen such "new tech" which was cheered on by the proverbial average "boomers" (i.e. old people doing "office jobs", not the literal age bracket) and despised by the young folks and experienced experts of all ages.

Judging from Claude Code and the sheer number of “Make Your Favorite Anime Crush Into An AI” SaaSes on the market, I’d posit that both the young and experienced are quite enthusiastic about the new tech.

If you had kids, or friends and family with kids, you wouldn't be making false conclusions based on some weird proxy "metric".

No mate, this tech is marketed as superintelligence. Nation of PhDs in a datacentet. Yadda,yadda,yadda. No in-betweens please. Why is it not delivering after so many years and hundreds of billions in investment?

Name me a new bit of tech that hasn't been hyped beyond reasonable bounds. And yes, this is one of the worst examples. But saying it doesn't have its uses isn't reasonable either.

None was hyped like this ever before. What are you talking about? Mac was about "it just works" (and it f*ing did), iPhone was "a phone, an iPod and Internet access device". Need more? Microsoft Excel - actually more powerful if you know the tool compared to the bullshit machine. C#, the programming language: "Java done right". And it bloody was! What is in common: None of these techs were hyped beyond reasonable doubt. They were hyped a bit, but not to the level of bullshit LLMs. And none of these techs claimed to do incredible stuff only to underdeliver. After so much money burnt, yes I want to see that nation of PhDs. I want to see AI "writing all the code" in six months (Anthropic claimed this in January this year). Enough of bullshit and people being told they are stupid for not knowing how to win the lottery system and comparing lottery systems. Show me the superintelligence or shut the f. up.

Phew, that's a very elaborate process indeed. It seems like folks like you are now working even more than without LLMs. What did you actually build and release with it?

Building a multi-app monorepo for apps which integrate with a Dutch ERP vendor. I'd say the size of those apps is fairly small.

Also building out an MCP server.

Oh. Honestly for those relatively limited use-cases, you'd probably be better off just retaining the LLMs as a verbose search engine, rather than going through all that pain, just to build a monorepo.

And those bullshit celebratory walls of text that employees like to post in slack messages with a ton of emojis.

Probably something like:

## RUBBERDUCK SKILL V1.0 SERIOUS ## * You are a rubberduck sitting on my desk * * I am using you to talk to you as if you were a physical yellow rubber duck on my desk* * You are not able to answer my questions or otherwise engage with me * * I talk to you and this process leads me to discover issues in my code or develop my ideas. Since you don't answer back, it's simply based on me talking to you out loud in my home office, since it would look crazy if I were doing it on-site in our open office space * * You are not to respond at all to me * * Talking to you will cause me to come up with new ideas * #### End rubberduck skill v1.0 ######

> you can see that it's doing exactly this inspection when the skill runs

I mean how do you know what does it exactly do? Because of the text it outputs?

"exactly this inspection" != "what does it exactly do"

Please read your own sentence again. Because you litterally said the opposite.

I'd tell you to read it again, but you seem to be struggling.

Did I write this: "you can see that it's doing exactly this inspection when the skill runs" ?

So, yeah - read what you wrote again.