<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Software Engineering on Lynx Tech Blog</title><link>https://blog.lynxflow.co/en/tags/software-engineering/</link><description>Recent content in Software Engineering on Lynx Tech Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Fri, 07 Aug 2026 12:00:00 +0800</lastBuildDate><atom:link href="https://blog.lynxflow.co/en/tags/software-engineering/index.xml" rel="self" type="application/rss+xml"/><item><title>The Development Curve of AI: Steep Early On, Explosive Later</title><link>https://blog.lynxflow.co/en/posts/ai-dev-curve/</link><pubDate>Fri, 07 Aug 2026 12:00:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/ai-dev-curve/</guid><description>&lt;img src="https://blog.lynxflow.co/images/ai-dev-curve.png" alt="Featured image of post The Development Curve of AI: Steep Early On, Explosive Later" /&gt;Two Completely Different Curves The difficulty curve of traditional software development is roughly a gentle start followed by a steady climb: setting up the environment, learning the framework, writing the scaffolding—one step at a time. Later, as the codebase grows, the difficulty does increase, but you know exactly where every bit of that difficulty is coming from.
AI-assisted development follows an entirely different curve. The early phase is terrifyingly steep—a demo in a day, a prototype i</description></item></channel></rss>