# @spec: if any method takes longer than 1s to execute, a warning must be logged
class X: ... function increment() {
count.value += 1
}
increment = () => {
this.setState((prevState) => ({ count: prevState.count + 1 }));
};
const increment = () => setCount((count) => count + 1);
function increment() {
count += 1;
}
def compile(source: "something compilable",
filename: "where the compilable thing comes from",
mode: "is this a single statement or a suite?"):
I think this is a huge oversimplification, the term "search query" is doing a lot of heavy lifting here.
When Claude Code calls something like
to understand the project hierarchy before doing any of the grep calls, I don't think it's fair to call it just a "search query", it's more like "analyze query". Just because text goes in and out in both cases, doesn't mean that it's all the same.
When you give the agent the ability to query the nature of the data (e.g. hierarchy), and not just data itself, it means that you need to design your product around it. Agentic RAG has entirely different implementation, product implications, cost, latency, and primarily, outcomes. I don't think it's useful to pretend that it's just a different flavor of the same thing, simply because at the end of the day it's just some text flying over the network.