I don't see a divergence, from what I can tell a lot of people have only just started using agents in the past 3-4 months when they got good enough that it was hard to say otherwise. Then there's stuff like MCP, which never seemed good and was entirely driven by people who talked more about it than used it. There also used to be stuff like langchain or vector databases that nobody talks about anymore, maybe they're still used but they're not trendy anymore.It seems way too soon to really narrow down any kind of trends after a few months. Most people aren't breathlessly following the next twitter trend, give it at least a year. Nobody is really going to be left behind if they pick up agents now instead of 3 months ago.
NitpickLawyer|28 days ago
I've seen great improvements with just two MCP servers: context7 and playwright. The first is great on planning sessions and leads to better usage of new-ish libraries, and the second is giving the model a feedback loop. The advantage is that they work with pretty much any coding agent harness you use. So whatever worked with cursor will work with cc or opencode or whatever else.
theshrike79|27 days ago
What I want is a Skill that leverages a normal CLI executable that gives the LLM the same capabilities of browser use.
Gigachad|28 days ago
neom|28 days ago
_1tan|28 days ago
senordevnyc|28 days ago
theshrike79|27 days ago
The LLM agent can make sense of the text document, figure out the actual tool calls and use them.
And you, the MCP server operator, can change the "API" at any time and the client (LLM agent) will just automatically adjust.