<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Guide on Vivek Kumar</title><link>https://vkumar825.github.io/blog/guide/</link><description>Recent content in Guide on Vivek Kumar</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Mon, 21 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://vkumar825.github.io/blog/guide/index.xml" rel="self" type="application/rss+xml"/><item><title>Windows Development Setup Guide</title><link>https://vkumar825.github.io/windows-development-setup-guide/</link><pubDate>Mon, 21 Sep 2026 00:00:00 +0000</pubDate><guid>https://vkumar825.github.io/windows-development-setup-guide/</guid><description>&lt;p&gt;Just as there is a guide for macOS &lt;a href="https://vkumar825.github.io/macos-development-setup-guide/"&gt;here&lt;/a&gt;, this post will go over setting up the development environment on Microsoft Windows, specifically Windows 11.&lt;/p&gt;
&lt;p&gt;Along with information from googling around, I also want to give kudos to Alex Ziskind&amp;rsquo;s video on the subject matter.&lt;/p&gt;
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&lt;p&gt;It&amp;rsquo;s a good reference that I used the last time I did this, so consider this post basically the textual (along with screenshots) version of that video to some extent, but focusing primarily on the bare essentials.&lt;/p&gt;</description></item><item><title>Setting Up Local LLMs on macOS</title><link>https://vkumar825.github.io/setting-up-local-llms-on-macos/</link><pubDate>Fri, 21 Aug 2026 00:00:00 +0000</pubDate><guid>https://vkumar825.github.io/setting-up-local-llms-on-macos/</guid><description>&lt;p&gt;In this post, I&amp;rsquo;ll go over how to set up local LLMs on macOS, though the same steps should also work on Windows if using Windows Subsystem for Linux (WSL). More on that in the next blog post, which will be about setting up Windows 11 for development!&lt;/p&gt;
&lt;p&gt;There are some reasons why it might be nice to have local LLMs on your computer, and one reason is that it is completely yours. Cloud-based LLMs like ChatGPT, Gemini, Grok, etc, tend to be very limiting because you are subject to the company&amp;rsquo;s policies on what you can and can&amp;rsquo;t do with it. It also offers complete privacy, the ability to access it offline, and no billing or usage limitations.&lt;/p&gt;</description></item><item><title>macOS Development Setup Guide</title><link>https://vkumar825.github.io/macos-development-setup-guide/</link><pubDate>Sun, 26 Jul 2026 00:00:00 +0000</pubDate><guid>https://vkumar825.github.io/macos-development-setup-guide/</guid><description>&lt;p&gt;When I got this MacBook Pro 14&amp;quot; with 24 GB of RAM and 1 TB of storage a few months ago, the first thing I wanted to do was to have a development setup that didn&amp;rsquo;t involve separate version managers for each programming language, running the risk of dependency hell, and constant frustration in managing those.&lt;/p&gt;
&lt;p&gt;Things have changed a lot over the last few years since the last time I set up my workflow. Previously, I used a combination of &lt;code&gt;miniconda&lt;/code&gt;, &lt;code&gt;nvm&lt;/code&gt;, etc.&lt;/p&gt;</description></item></channel></rss>