<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Generated Code Risks on No Semicolons</title><link>https://nosemicolons.com/tags/generated-code-risks/</link><description>Recent content in Generated Code Risks on No Semicolons</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 28 Jul 2026 10:26:43 +0000</lastBuildDate><atom:link href="https://nosemicolons.com/tags/generated-code-risks/index.xml" rel="self" type="application/rss+xml"/><item><title>The AI Code Generation Startup Acquisition Crisis: How Generated Code Is Failing Technical Due Diligence</title><link>https://nosemicolons.com/posts/ai-code-generation-startup-acquisition-crisis/</link><pubDate>Tue, 28 Jul 2026 10:26:43 +0000</pubDate><guid>https://nosemicolons.com/posts/ai-code-generation-startup-acquisition-crisis/</guid><description>&lt;p>Last month, a Series A startup I know had their $15M acquisition fall through at the final hour. The reason? Their technical due diligence revealed that 70% of their codebase was AI-generated with zero human oversight, creating what the acquiring company&amp;rsquo;s CTO called &amp;ldquo;a maintenance nightmare wrapped in technical debt.&amp;rdquo;&lt;/p>
&lt;p>They&amp;rsquo;re not alone. According to recent data from tech M&amp;amp;A advisors, roughly 60% of AI-first startups are failing technical audits during acquisition processes. As someone who&amp;rsquo;s been deep in the AI-assisted development world for the past two years, this trend both surprises and doesn&amp;rsquo;t surprise me at all.&lt;/p></description></item></channel></rss>