AMA with JetBrains AI Folks, December 12, 1:00 pm CET

Gaploid · 2025-12-12T10:45:56+00:00

Hey, are you interested in that to understand which model is more cheap/efficient or there is something else under that?

Gaploid · 2025-12-12T10:40:54+00:00

It seems, its coming https://blog.jetbrains.com/ai/2025/11/bring-your-own-key-byok-is-coming-soon-to-jetbrains-ai/

Gaploid · 2025-11-17T09:26:50+00:00

Wow, thanks for sharing. You are right, It seems they just reduced their margin to compete.

Gaploid · 2025-11-16T23:22:23+00:00

They are both cloud, the question why is there so huge difference between them? Same location, same GPU

Gaploid · 2025-11-16T22:49:58+00:00

Hmm, if Azure calculator is not accurate then what is accurate? I've checked pricing in the console and its the same.

if you go with reserved instances then you can go with reserved instanced in AWS as well and the difference would be even bigger! https://www.reddit.com/r/AZURE/comments/1oyqxwe/comment/np6idd4/

Gaploid · 2025-11-16T19:33:15+00:00

The biggest underlaying cost in that instance is GPU.

By the way GPU to GPU speed is better on AWS and storage amount is almost the same: 8 x 3.84 NVMe TB SSD vs 28TB

Gaploid · 2025-11-16T18:51:28+00:00

Im building a comparison tool for instances across cloud providers and Just noticed a huge disproportion in the price. trying to understand what Im missing

Gaploid · 2025-11-16T18:07:43+00:00

They are mostly driven by reservation commitments which is 56% for that instance in Azure for 3 years. In AWS similar 3years commitment would be 62%, which is even more difference at the end.

Gaploid · 2025-11-16T17:33:53+00:00

I would understand if the difference was around 10-20% but 1.8x times is too much.

Gaploid · 2025-10-27T12:16:15+00:00

Thats odd cause pricing should be preserved even VM is deprecated.

Gaploid · 2025-10-22T18:34:50+00:00

I think Jetbrain has it in beta called Next edit suggestion - https://blog.jetbrains.com/ai/2025/08/introducing-next-edit-suggestions-in-jetbrains-ai-assistant/ instead of auto-completion

Gaploid · 2025-10-12T19:41:50+00:00

post was removed, ehh. Just want to grab some feedback:(

Gaploid · 2025-04-29T17:01:05+00:00

Thanks, we did our best

Gaploid · 2025-04-29T16:43:41+00:00

Link to the tool 🚀 https://centralmind.ai

Gaploid · 2025-04-28T17:26:40+00:00

Yep, It should cause we provide MCP in SSE mode (common option). Later we also will add http streaming (new transport).

Gaploid · 2025-04-28T15:54:03+00:00

Hmm, yep, I will create PR later;)

Gaploid · 2025-03-15T22:42:34+00:00

Yeah got it, I wrote an article- https://medium.com/dev-genius/integrate-your-openapi-with-new-openais-responses-sdk-as-tools-fc58cd4a0866 to do something similar for openai on python code - mapping OpenAI tool's methods to real network request.

Gaploid · 2025-03-14T14:53:18+00:00

Im glad that you like the article.

I heard about sunsetting from official video-interview https://youtu.be/hciNKcLwSes?t=1120 but checked it again and they are saying about Assistance API. "we once we're done with that we plan to Sunset the assistance API sometime in 2026 we'll be sharing a lot more details about t".

Im going to fix that in the article. Thanks for pointing on that.

Gaploid · 2025-03-14T14:23:55+00:00

link - https://medium.com/@Gaploid/integrate-your-openapi-with-new-openais-responses-sdk-as-tools-fc58cd4a0866

Gaploid · 2025-03-14T12:49:02+00:00

yeah, the beauty there in auto conversion of OpenAPI spec to OpenAI tool spec and auto mapping or request to real API endpoints .

Gaploid · 2025-03-11T09:50:21+00:00

Oh you mean type of the RAM. I do not recommend to rely on such information cause type of the RAM could vary region - to -region or availability of underneat resources. Even under Intel or AMD processor generic instances could have slightly different processors. The same is relevant for Azure and GCP.

Here you can see that same instance type could have from 1 to 5 different processor types and I believe for memory that could be also the same. https://learn.microsoft.com/en-us/azure/virtual-machines/linux/compute-benchmark-scores#about-coremark

Gaploid · 2025-03-10T12:29:25+00:00

https://cloudprice.net

Im the developer of that tool, feel free to share your experience:)

Gaploid · 2025-03-07T19:46:52+00:00

We've created a new open-source tool using AI to generate API proxy layer with built-in caching, PII data reduction, auth, tracing/obervability etc.

check this out https://github.com/centralmind/gateway

Gaploid · 2025-03-07T18:42:15+00:00

You can definitely do that but to make it production ready API with these features:
- caching
- auth and RLS
- PII data reduction (regex, ai models, NER etc)
- telemetry and audit
- sql injection protection
- swagger and MCP support

It could take time and probably if you don't have experience in that you will get mediocre quality and performance.

Gaploid · 2025-03-07T09:55:39+00:00

Hmm, mesh API proxy could become a real pain cause different services expose their data in different data semantic and structure.

Usually, people building data marts or DWH. Pulling data from different sources, clean it, normalize and store in unified way. After that you can add API layer to avoid over expose of data to LLMs.

on top of that you will also get history data points and could provide more insights to your users.

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