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Claude Integrations
111–120 of 266 posts
Re: Claude Integrations
#112I think with MCPs and related tech, if Apple just internally went back to the drawing board and integrated the concept of MCPs directly into iOS (via the "Apple Intelligence" umbrella) and seamlessly integrated it into the App Store and apps, they will win the mobile race for this. Being Apple, they would have to come up with something novel like they did with push (where you have _one_ OS process running that delega…
Apple already has the equivalent of MCP. https://developer.apple.com/documentation/appintents.
Re: Claude Integrations
#113Been playing with MCP in the last few days and it's basically a more streamlined way to define tools/function calls.
That + the agent SDK of openAI makes creating agentic flow so easy.
On the other hand you're kinda forced to run these tools / MCP servers in their own process which makes no sense to me.
Re: Claude Integrations
#114Anthropic's strategy seems to go towards "AI as universal glue". They want to tie Claude into all the tools teams already live in (Jira, Confluence, Zapier, etc.). That's a smart move for enterprise adoption, but it also feels like they're compensating for a plateau in core model capabilities.
Both OpenAI and Google continue to push the frontier on reasoning, multimodality, and efficiency whereas Claude's recent releases have felt more iterative. I'd love to see Anthropic push into model research again.
Re: Claude Integrations
#115Earlier quoted context omitted.
Definitely my experience. I manage context like a hawk, be it with Claude-as-Google-replacement or LLM integrations into systems. Too little and the results are off. Too much and the results are off. Not sure what Anthropic and co can do about that, but integrations feel like a step in the wrong direction. Whenever I've tried tool use, it was orders of magnitude more expensive and generally inferior to a simple model…
Couldn't agree more. I wish all major model makers would build tools into their proprietary UIs to "summarize contents and start a new conversation with that base". My biggest slowdown with working with LLMs while coding is moving my conversation to a new thread because context limit is hit (Claude) or the coherent-thought threshold is exceeded (Gemini).
I never use any web interfaces, just hooked up gptel (an Emacs package) to Claude's API and a few others I regularly use, and I just have a buffer with the entire conversation. I can modify it as needed, spawn a fresh one quickly etc. There's also features to add files and individual snippets, but I usually manage it all in a single buffer. It's a powerful text editor, so efficient text editing is a given.
I bet there are better / less arcane tools, but I think powerful and fast mechanisms for managing context are key and for me, that's really just powerful text editing features.
Re: Claude Integrations
#116Earlier quoted context omitted.
why is finetuning talked about so much less than RAG? is it not viable at all?
RAG is infinitely more accessible and cheaper than finetuning. But it is true that finetuning is getting severely overlooked in situations where it would outperform alternatives like RAG.
> RAG is infinitely more accessible and cheaper than finetuning.
it depends on your data access pattern. If some text goes through LLM input many times, it is more efficient for LLM to be finetuned on it once.
Re: Claude Integrations
#117Earlier quoted context omitted.
> If you look at my JIRA comments now, you'd wonder how I had so much time to write such thorough comments. I don't, Cursor and whatever model is doing it for me. How do your colleagues feel about it?
Well I had half a mind to not tell them to see what they’d say, but I also was excited to show everyone so they can also be empowered with it. One of them said “yeah I was wondering cuz you never write that much” - as a leader, I actually don’t set a good example of how to leave quality JIRA comments. And my view with all these things is that I have to lead by example, not by orders. With the help of these kinds of t…
Someone please shoot me if my PM ever gets this idea in his head of using LLM slop to spam tickets with en masse.
There's nothing I hate more than people sending me their AI messages, be it in a ticket or a PR or even on Slack. I'm forced to engage and spend effort on something it took them all of 3 seconds to generate without even proofreading what they're sending me says. The amount of times I've had to ask 11 clarifying questions because their message has 11 contradictions within itself is maddening to the highest degree.
The worst is when I call out one of these numerous contradictions, and the reply is "oh haha, stupid Claude :)", makes my blood boil and at the same time amazes me that someone has so little pride and respect for their fellow humans to do crap like that.
Re: Claude Integrations
#118Anthropic's strategy seems to go towards "AI as universal glue". They want to tie Claude into all the tools teams already live in (Jira, Confluence, Zapier, etc.). That's a smart move for enterprise adoption, but it also feels like they're compensating for a plateau in core model capabilities. Both OpenAI and Google continue to push the frontier on reasoning, multimodality, and efficiency whereas Claude's recent rele…
I am sure they are already doing that. To think that an AI researcher is doing essentially api integration work is a bit silly. Multiple efforts can happen at the same time
Re: Claude Integrations
#119Anthropic's strategy seems to go towards "AI as universal glue". They want to tie Claude into all the tools teams already live in (Jira, Confluence, Zapier, etc.). That's a smart move for enterprise adoption, but it also feels like they're compensating for a plateau in core model capabilities. Both OpenAI and Google continue to push the frontier on reasoning, multimodality, and efficiency whereas Claude's recent rele…
I would expect Slack do this. Maybe Slack and Claude should merge one day, given MS and Google has their own core models.
Re: Claude Integrations
#120Is this the beginning of the apps for everything era and finally the SaaS for your LLM begins? Initially we had internet but value came when instead of installed apps, webapps arrived to become SaaS. Now if LLMs can use specific remote MCP which is another SaaS for your LLM, the remote MCP powered service can charge a subscription to do wonderful things and voila! Let the new golden age of SaaS for LLMs begin and the…
I'm more excited I can run now a custom site, hook an MCP for it, and have all the cool intelligence I had to pay for SaaS without having to integrate to them plus govern my data, it's a massive win. I just see AI assistant coding replicating current SaaS services that I can run internally. If my shop was a specific stack, I could aim to have all my supporting apps in that specific stack using AI assistant coding, si…
We should all thank the chinese companies for releasing so many incredible open weight models. I hope they keep doing it, I dont want to rely on OpenAI, Anthropic or Google for all my future computer interactions.