For things like reviews I usually get a lot more value from a quick manual scan than an AI overview of any given review. Summaries of many reviews could be useful but if there are, e.g., thousands of reviews, I find myself skeptical of how truly "thorough" or well-executed that AI summary is anyway.
For "how do I write a bash script that will do X" the AI summary currently is way better than scanning a handful of StackOverflow tabs, already.
It will be interesting to see how "fresh" things like that stay in the world of newer or evolving programming languages. This is one of the areas where I already see the most issues (methods that no longer exist, etc).
I think we’re still missing a breakthrough in synthetic data generation for code in order to LLMs to come into their own. Something can ingest the documentation of all the different ecosystems and generate fine tuning to improve the accuracy of recall.