[andersmurphy]

Wonder if the real value of LLMs/AI is similar to microservices in that it solves an organisational/culture problem.

In this case AI allowed the developer to make a change that the organisation would not have allowed. Regular rewrites don't let you signal to investors that you are AI ready/ascendant/agentic (whatever the latest AI hype term is) so would have been blocked. But, an AI rewrite.

[9wzYQbTYsAIc]

If the only thing LLMs did was clear enterprise technical debt backlogs, the end consumer would still benefit from the technology.

[andersmurphy]

That assumes they don't accelerate the accumulation of technical debt. For each item cleared how many new ones are added. LLMs accelerate your good engineers and your bad ones. So the slop likely increase faster than it can be cleared.

[blharr]

And it will affect good engineers and turn them into worse engineers too

AI benefits rely on these good engineers having 5, 10, 20 years of experience pre-AI designing (and fully, thoroughly understanding) these systems. What's going to happen to that engineering skill after 15 years of AI use?

[9wzYQbTYsAIc]

It ought to only get better as it gets honed at an even faster pace than before, utilizing techniques and algorithms that would have been out of reach due to outside constraints.

[zar1048576]

+1 This is the core question to ask.