I found them worth reading for the following set of thoughts came up:

- programmers had problems with delivering quality long before LLM’s

- very much research and tools went into that, bringing us {Git, libraries, VSCode, reviews, …,} but the human factor stayed the same (and more pronounced imho than in other fields of engineering)

- LLMs democratized programming, enhancing a few, dropping the bottom to no skill programming

- the tools and practices created for the quality problems from the past turn out to be wholly incapable of maintaining quality in the present

The main problem behind this is that those delivering the QA tools of the past are central in the AI race. Old school engineering would separate these concerns.