<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Engineering-Management on Thiago Avelino</title><link>https://avelino.run/tags/engineering-management/</link><description>Recent content in Engineering-Management on Thiago Avelino</description><generator>Hugo</generator><language>en-us</language><copyright>© Avelino</copyright><lastBuildDate>Sat, 18 Apr 2026 07:38:48 -0300</lastBuildDate><atom:link href="https://avelino.run/tags/engineering-management/index.xml" rel="self" type="application/rss+xml"/><item><title>AI tools have a cost problem. But it's not the tools</title><link>https://avelino.run/ai-cost-discipline/</link><pubDate>Sat, 18 Apr 2026 00:00:00 +0000</pubDate><guid>https://avelino.run/ai-cost-discipline/</guid><description>&lt;p>Uber's CTO &lt;a href="https://www.benzinga.com/markets/tech/26/04/51828848/ubers-anthropic-ai-push-hits-wall-cto-says-budget-struggles-despite-spend">burned through the company's annual AI budget in four months&lt;/a>.&lt;/p>
&lt;p>5,000 engineers. Claude Code. An internal leaderboard ranking who uses it the most. Based on what's been reported: no cap, no cost governance. I don't know exactly how it works from the inside - all I have is the public read of the case. And that read tells me a lot about a pattern I see repeating at companies of every size.&lt;/p></description></item></channel></rss>