Just what I was thinking about lately, what if LLMs are not 95% precise, but 99,95%. After like 50-100 checks you find nothing, and you just dump the whole project to be implemented - and there come the bugs.

However ... your colleagues just do the same.

We'll see how this unfolds. As for now the industry seems to be a bit stuck at this level. Big models too expensive to train for marginal gains, smaller are getting better but doesn't help this. Until some one new idea comes in how LLMs should work, we won't see the 99.95% anyway.