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Claude Integrations

anthropic.com

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Re: Claude Integrations

#221

Post by kostas_f »

bl4ckneon wrote: post #118
kostas_f wrote: post #114

Anthropic'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

They certainly have internal research efforts underway, but I'm talking about what’s actually been released to end users via the Claude app or API. Their latest public Sonnet release 3.7 (feb 2025) felt pretty incremental compared to Sonnet 3.5 (june 2024), especially when you compare them to OpenAI and Google released models. In terms of the models you can integrate today, Anthropic hasn’t quite kept pace on either reasoning performance or cost efficiency.

Re: Claude Integrations

#222

Post by iLoveOncall »

never_inline wrote: post #215
iLoveOncall wrote: post #199

Earlier quoted context omitted.

Calling some APIs is leap-frogging? You could do this with GPT-3, nothing has changed except it's branded under a new name and tries to establish a (flawed) standard. If there was truly any innovation still happening in OpenAI, Anthropic, etc., they would be working on models only, not on side features that someone could already develop over a weekend.

Why would you love on-call though?

In my previous team most of our oncall requests came from bug reports by customers on various tools that we owned, so to be able to work on random tools that my team owned was a nice change of pace / scenery compared to working on the same thing for 3 months uninterrupted.

Now I'm in a new team where 99% of our oncall tickets come from automated alarms and 80% of them are a subset of a few issues where the root-cause isn't easy to address but there is either nothing to actually do once investigated, or the fix is a one time process that is annoying to run, so the username isn't accurate anymore :)

I still like the change of pace though, 0 worries about sprint tasks or anything else for a week every few months.

Re: Claude Integrations

#223

Post by eru »

garrickvanburen wrote: post #158
user_7832 wrote: post #26

Earlier quoted context omitted.

I agree with your overall message - rapid growth appears to encourage competition and forces companies to put their best foot forward. However, unfortunately, I cannot shower much praise on Claude 3.7. And if you (or anyone) asks why - 3.7 seems much better than 3.5, surely? - Then I’m moderately sure that you use Claude much more for coding than for any kind of conversation. In my opinion, even 3.5 Haiku (which is a…

My current hypothesis: the more familiar you are with a topic the worse the results from any LLM.

Not really. I'm getting pretty good Computer Science theory out of Gemini and even ChatGPT.

Re: Claude Integrations

#224

Post by abhisek »

Looks to me another apps ecosystem coming up similar to Android or iPhone. We are probably going to see a lot of AI apps marketplaces that solve the problem of discovery, billing & integration with AI hosts like Claude Desktop.

Re: Claude Integrations

#225

Post by viraptor »

bredren wrote: post #10

Had been planning a custom mcp for our orgs’ jira. I’m a bit skeptical that it’s gonna work out of the box because of the amount of custom fields that seem to be involved to make successful API requests in our case. But I would welcome, not having to solve this problem. Jira’s interface is among the worst of all the ticket tracking applications I have encountered. But, I have found using a LM conversation paired with…

You can also do the same thing locally: https://github.com/sooperset/mcp-atlassian Either with the cloude app, or some other system with any tool-using LLM you want.

Re: Claude Integrations

#226

Post by jerpint »

dimitri-vs wrote: post #162
greymalik wrote: post #142

Earlier quoted context omitted.

Out of curiosity - can you give any examples of the programming questions you are using deep research on? I’m having a hard time thinking of how it would be helpful and could use the inspiration.

Easy, any research task that will take you 5 minutes to complete it's worth firing off a Deep Research request while you work on something else in parallel. I use it a lot when documentation is vague or outdated. When Gemini/o3 can't figure something out after 2 tries. When I am working with a service/API/framework/whatever that I am very unfamiliar with and I don't even know what to Google search.

Have you tried using llms.txt when available? Very useful resource

Re: Claude Integrations

#227

Post by conception »

spaceman_2020 wrote: post #187
tiberriver256 wrote: post #141

Earlier quoted context omitted.

3.7 did score higher in coding benchmarks but in practice 3.5 is much better at coding. 3.7 ignores instructions and does things you didn't ask it to do.

3.7 is too overactive I prefer Gemini 2.5 pro for all code now

2.5 is my “okay Claude can’t get it” but first I check my “bank account” to see if I can afford it.

Re: Claude Integrations

#228

Post by apwell23 »

throwup238 wrote: post #16

The leap frogging at this point is getting insane (in a good way, I guess?). The amount of time each state of the art feature gets before it's supplanted is a few weeks at this point. LLMs were always a fun novelty for me until OpenAI DeepResearch which started to actually come up with useful results on more complex programming questions (where I needed to write all the code by hand but had to pull together lots of d…

> DeepResearch which started to actually come up with useful results on more complex programming questions

Is there a youtube video of ppl using this on complex open source projects like linux kernel or maybe something like pytorch.

How come none of the oss pojects( atleast not the ones i follow) are progressing fast(er) from AI like 'deepresearch'

Re: Claude Integrations

#229

Post by bsenftner »

garrickvanburen wrote: post #158
user_7832 wrote: post #26

Earlier quoted context omitted.

I agree with your overall message - rapid growth appears to encourage competition and forces companies to put their best foot forward. However, unfortunately, I cannot shower much praise on Claude 3.7. And if you (or anyone) asks why - 3.7 seems much better than 3.5, surely? - Then I’m moderately sure that you use Claude much more for coding than for any kind of conversation. In my opinion, even 3.5 Haiku (which is a…

My current hypothesis: the more familiar you are with a topic the worse the results from any LLM.

It is like this with expert humans too. Which is why, no matter what, we will continue to require expert humans not just "in the loop" but as the critical cogs that are the loop itself, just as it as always been. However, this time around those people will have AI augmentation, and be intellectually athletes of a nature our civilization has never seen.

Re: Claude Integrations

#230

Post by ralusek »

conception wrote: post #227
spaceman_2020 wrote: post #187

Earlier quoted context omitted.

3.7 is too overactive I prefer Gemini 2.5 pro for all code now

2.5 is my “okay Claude can’t get it” but first I check my “bank account” to see if I can afford it.

Isn’t 2.5 pro significantly cheaper?
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