dodistyohttps://dodistyo.github.io/This is my spaceHugo -- gohugo.ioendodipras27@gmail.com (Dodi Prasetyo)dodipras27@gmail.com (Dodi Prasetyo)This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.Sun, 29 Mar 2026 16:51:00 +0700Qwen 3.5: Open Weights Closing the Gap to Proprietary Modelshttps://dodistyo.github.io/posts/qwen-3.5-open-weights/Sun, 29 Mar 2026 16:51:00 +0700Dodi Prasetyohttps://dodistyo.github.io/posts/qwen-3.5-open-weights/

The open-weight LLM scene has been moving fast lately — but most of the noise is just bigger parameter counts chasing diminishing returns. What’s actually interesting right now isn’t about how massive a model can get, but how much capability we’re packing into something that runs on consumer hardware.

Enter Qwen 3.5, which Alibaba released in February with two variants designed for exactly this moment: the 27B dense model and 35B-A3B MoE. These aren’t trying to be GPT-5 replacements. They’re asking a different question entirely — what if you could run frontier-level reasoning locally without needing an API key or worrying about token costs?

]]>Running Open Weight Models On A Single Consumer Grade GPUshttps://dodistyo.github.io/posts/open-model-on-local/Sun, 19 Oct 2025 00:00:00 +0700Dodi Prasetyohttps://dodistyo.github.io/posts/open-model-on-local/Why Open Models?

For years, the biggest language and vision systems were locked behind corporate APIs — from OpenAI, Antrhopic, Google etc.

Then DeepSeek came in — DeepSeek is one of the pioneers in open model space. a relatively unknown AI research lab from China, released an open source model that quickly become the talk back then. On many metrics that matter — capability, cost, openness ― DeepSeek is opening the way for open weight models in the industry.

]]>Take Your Dev Setup Anywhere with CDEhttps://dodistyo.github.io/posts/cloud-development-environment/Sun, 20 Jul 2025 19:30:00 +0700Dodi Prasetyohttps://dodistyo.github.io/posts/cloud-development-environment/Do you enjoy setting up a development environment each time you switch devices?

Well, I don’t…

Setting up workspace can be tedious, especially when you got a new device or just simply often switching for devices.

]]>Platform Engineering And Cyber Security Storieshttps://dodistyo.github.io/posts/platform-and-security/Fri, 20 Jun 2025 19:37:00 +0700Dodihttps://dodistyo.github.io/posts/platform-and-security/<p>Alright, so here are the takes from a guy who&rsquo;s been knee-deep in platform and security. building stuff, breaking stuff, securing it, then unbreaking it again. You know, the usual.</p>Kubernetes Gateway APIhttps://dodistyo.github.io/posts/kubernetes-gateway-api/Sat, 05 Jul 2025 00:00:00 +0700Dodihttps://dodistyo.github.io/posts/kubernetes-gateway-api/<p>Do you remember the good old days when you’re trying to grasp on how you can make your applications accessible from outside of the kubernetes cluster?</p>Qwen 3.5: Open Weights Closing the Gap to Proprietary Modelshttps://dodistyo.github.io/posts/qwen-3.5-medium-open-weights/Sat, 28 Mar 2026 09:00:00 +0700Dodi Prasetyohttps://dodistyo.github.io/posts/qwen-3.5-medium-open-weights/It’s been a while since my last post about open-weight models — and honestly, the pace of improvement has been wild. Every few months, something new drops that makes you question whether proprietary models are still worth the hype.

Case in point: Devstral Small 2 dropped on Dec 22, 2025 with a solid 68% SWE-Bench score. Impressive for a ~24B model running on consumer hardware. But then just 57 days later, on Feb 17, 2026, Alibaba released Qwen 3.5 — and the open-weight game changed again.

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