<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>google on [ MECANIK DEV ]</title><link>https://mecanik.dev/en/tags/google/</link><description>Recent content in google on [ MECANIK DEV ]</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>Copyright © 2020-{year} by [ MECANIK DEV ]. All Rights Reserved.</copyright><lastBuildDate>Thu, 18 Jun 2026 08:00:00 +0100</lastBuildDate><atom:link href="https://mecanik.dev/en/tags/google/index.xml" rel="self" type="application/rss+xml"/><item><title>Google Gemini 3.5 and Gemini 3.5 Flash: The Complete Guide</title><link>https://mecanik.dev/en/posts/google-gemini-3.5-and-gemini-3.5-flash-guide/</link><pubDate>Thu, 18 Jun 2026 08:00:00 +0100</pubDate><guid>https://mecanik.dev/en/posts/google-gemini-3.5-and-gemini-3.5-flash-guide/</guid><description>Gemini 3.5 represents Google&amp;rsquo;s latest efforts to dominate the fast-growing market for agentic AI applications in 2026. Developers need models that are both fast and cost-effective to run complex reasoning tasks. Consequently, the introduction of these models addresses this need directly by combining high speed with frontier intelligence.
This article reviews the core architecture of Gemini 3.5, the specific capabilities of Gemini 3.5 Flash, and how engineering teams use them to build autonomous coding pipelines.</description></item></channel></rss>