<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>rzkmak's notes</title><link>/</link><description>Recent blog posts on rzkmak's notes</description><generator>Hugo (https://gohugo.io)</generator><language>en-us</language><managingEditor>rzkmak@outlook.com (Rizki Maulana Akbar)</managingEditor><webMaster>rzkmak@outlook.com (Rizki Maulana Akbar)</webMaster><lastBuildDate>Sat, 07 Mar 2026 00:00:00 Z</lastBuildDate><atom:link href="/tags/development/index.xml" rel="self" type="application/rss+xml"/><item><title>2026 AI Dev Log: Balancing Power, Pricing, and Productivity in Development Workflow - Part 1</title><link>/posts/2026-ai-dev-log-part-1/</link><pubDate>Sat, 07 Mar 2026 00:00:00 Z</pubDate><author>rzkmak@outlook.com (Rizki Maulana Akbar)</author><description>
Current Personal Setup 2026/03
As we wrap up the first quarter of 2026, the landscape of AI development has shifted from &amp;amp;ldquo;experimental&amp;amp;rdquo; to &amp;amp;ldquo;mission-critical.&amp;amp;rdquo; We aren&amp;amp;rsquo;t just chatting with LLMs anymore; we are orchestrating agentic workflows. Over the last three months, I&amp;amp;rsquo;ve been deep-diving into the latest frontier models and the tools that harness them, testing everything from corporate-grade deployments to scrappy personal projects.
Here is a breakdown of what I&amp;amp;rsquo;ve learned about the AI development flow in this fast-moving era.</description><guid isPermaLink="true">/posts/2026-ai-dev-log-part-1/</guid></item></channel></rss>