<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Career on VONNG</title><link>https://blog.vonng.com/en/tags/career/</link><description>Recent content in Career on VONNG</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Fri, 14 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.vonng.com/en/tags/career/index.xml" rel="self" type="application/rss+xml"/><item><title>Why Are People Who Leave Big Tech So Useless?</title><link>https://blog.vonng.com/en/cloud/waste/</link><pubDate>Fri, 14 Aug 2026 00:00:00 +0000</pubDate><guid>https://blog.vonng.com/en/cloud/waste/</guid><description>People who leave Big Tech are not stupid. They have simply spent too long using a rented mental map. Only after leaving the platform do they discover that the map has to be returned.</description></item><item><title>The Bojie Li–DeepSeek Interview Controversy</title><link>https://blog.vonng.com/en/ai/deepseek-interview/</link><pubDate>Tue, 07 Jul 2026 00:00:00 +0000</pubDate><guid>https://blog.vonng.com/en/ai/deepseek-interview/</guid><description>Today&amp;rsquo;s biggest tech drama began when Bojie Li criticized DeepSeek&amp;rsquo;s interview process on Twitter: he was asked to solve online-judge coding problems, then suspected of cheating. Add the DeepSeek name, and the story exploded.</description></item><item><title>AI Was the Excuse for 4,000 Layoffs. Software Engineer Hiring Rose 11%</title><link>https://blog.vonng.com/en/ai/ai-sack/</link><pubDate>Fri, 27 Feb 2026 00:00:00 +0000</pubDate><guid>https://blog.vonng.com/en/ai/ai-sack/</guid><description>AI is becoming the story companies tell when they lay people off, but total demand for software engineering has not disappeared. It is spreading across the wider economy, driven by second-order demand unleashed as barriers fall.</description></item><item><title>A New Year—and What AI Will Change</title><link>https://blog.vonng.com/en/ai/new-year-ai-change/</link><pubDate>Tue, 17 Feb 2026 00:00:00 +0000</pubDate><guid>https://blog.vonng.com/en/ai/new-year-ai-change/</guid><description>AI is reshaping knowledge work far faster than historical experience would suggest. The real challenge is not whether you know how to use AI, but whether you can retool your thinking and skills before the adjustment window closes.</description></item><item><title>MySQL and Baijiu: The Internet’s Obedience Test</title><link>https://blog.vonng.com/en/db/mysql-baijiu/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://blog.vonng.com/en/db/mysql-baijiu/</guid><description>MySQL is to the internet what baijiu is to China: harsh, hard to swallow, yet worshipped because culture demands obedience. Both are loyalty tests—will you endure discomfort to fit in?</description></item><item><title>When Answers Become Abundant, Questions Become the New Currency</title><link>https://blog.vonng.com/en/db/ai-question/</link><pubDate>Tue, 02 Dec 2025 00:00:00 +0000</pubDate><guid>https://blog.vonng.com/en/db/ai-question/</guid><description>Your ability to ask questions—and your taste in what to ask—determines your position in the AI era. When answers become commodities, good questions become the new wealth. We are living in the moment this prophecy comes true.</description></item><item><title>Where Will Databases and DBAs Go in the AI Era?</title><link>https://blog.vonng.com/en/db/ai-dba-job/</link><pubDate>Mon, 30 Jun 2025 00:00:00 +0000</pubDate><guid>https://blog.vonng.com/en/db/ai-dba-job/</guid><description>Who will be revolutionized first - OLTP or OLAP? Integration vs specialization, how to choose? Where will DBAs go in the AI era? Feng&amp;rsquo;s views from the HOW 2025 conference roundtable, organized and published.</description></item><item><title>Why Study Database Principles</title><link>https://blog.vonng.com/en/db/why-learn-database/</link><pubDate>Fri, 20 Apr 2018 00:00:00 +0000</pubDate><guid>https://blog.vonng.com/en/db/why-learn-database/</guid><description>Those who only know how to code are just programmers; learn databases well, and you can at least make a living; but for excellent engineers, merely using databases is far from enough.</description></item></channel></rss>