Just as an anecdote, i used it to review a PR with 24 file change. We pivoted from the initial draft to make a service bus subscription more lightweight and use SignalR to update the frontend.
It used 1.4 million tokens and 34 sub agents during its review. This was not a large PR. So my read is that its very thorough, not good to use it for "small/medium" tasks unless precision is a very high priority.
NGRX Signals is the new way and its lovely.
Instead of having 5 files to get state hooked up, its usually 1 file and all/most functionality is co-located.
as someone who's worked with legal entities in the past, this is likely a deal breaker for many firms. LexisNexis is an integral part of the legal system for many states.
Not sure about the others but we use Azure AI Document Intelligence and its working well for our resume parsing system. Took a good bit of tuning but we havent had to touch it for almost a year now.
Same here. We have a massive codebase with large classes and the LLMs are not very helpful. Frontend stuff is okay sometimes but the backend models are too complex at this point, I guess.
While you may need an individual or two to carry things, you will also need other little things to get done that would slow down the "super stars". It's a team effort, always (when you get outside of personal projects).
Yes, I can read a calendar and a clock. Thank you for the concern.
I believe you are trying to say that the evidence is null because it happened earlier than the new admin got into power. Administrative handover happens within 30 days previous. So they began early January. Another way to look at this is, why didn’t they show up earlier? Like in 2023 or 24? Why only in 25, right after doge? It’s a little coincidental.
This post should NOT be flagged. Plenty of substantial research in this article and it is disturbing.
There is a concerted effort to silence anything that sounds like criticism.