<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Coding Agents on Software Engineering Group</title><link>https://seg.inf.unibe.ch/keywords/ai-coding-agents/</link><description>Recent content in AI Coding Agents on Software Engineering Group</description><generator>Hugo</generator><language>en-US</language><copyright>Software Engineering Group (SEG), [Institute of Computer Science](https://www.inf.unibe.ch/), [University of Bern](https://www.unibe.ch/). All rights reserved.</copyright><atom:link href="https://seg.inf.unibe.ch/keywords/ai-coding-agents/index.xml" rel="self" type="application/rss+xml"/><item><title>Reengineering Branch Governance for AI-Native Software Development</title><link>https://seg.inf.unibe.ch/teaching/student-projects/current/t0083-ai-repos-branch-analysis/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://seg.inf.unibe.ch/teaching/student-projects/current/t0083-ai-repos-branch-analysis/</guid><description>Modern AI coding tools allow developers and agents to generate hundreds of lines of code in seconds. However, our standard processes for managing software—like Git feature branches and pull requests—were created over two decades ago when writing code by hand was a slow process. Because code generation is now nearly instant, the main bottleneck in software engineering has shifted from writing code to reviewing, testing, and integrating it.</description></item></channel></rss>