Have you worked in software long? I've been in eng for almost 30 years, started in EE. Can confidently say you can't trust the humans either. SWEs have been wrong over and over. No reason to listen now.

Just a few years ago code gen LLMs were impossible to SWEs. In the 00s SWEs were certain no business would trust their data to the cloud.

OS and browsers are bloated messes, insecure to the core. Web apps are similarly just giant string mangling disasters.

SWEs have memorized endless amount of nonsense about their role to keep their jobs. You all have tons to say about software but little idea what's salient and just memorized nonsense parroted on the job all the time.

Most SWEs are engaged in labor role-play, there to earn nation state scrip for food/shelter.

I look forward to the end of the most inane era of human "engineering" ever.

Everything software can be whittled down to geometry generation and presentation, even text. End users can label outputs mechanical turk style and apply whatever syntax they want, while the machine itself handles arithemtic and Boolean logic against memory, and syncs output to the display.

All the linguist gibberish in the typical software stack will be compressed[1] away, all the SWE middlemen unemployed.

Rotary phone assembly workers have a support group for you all.

[1] https://arxiv.org/abs/2309.10668

The whole point is that you can't 100% trust the LLM to infer your intent with accuracy from lossy natural language.

Then it seems like the only workable solution from your perspective is a solo member team working on a product they came up with. Because as soon as there's more than one person on something, they have to use "lossy natural language" to communicate it between themselves.

>> The whole point is that you can't 100% trust the LLM to infer your intent with accuracy from lossy natural language.

You can't 100% trust a human either.

But, as with self-driving, the LLM simply needs to be better. It does not need to be perfect.