The software industry is racing to write code with artificial intelligence. It is struggling, badly, to make sure that code holds up once it ships. A survey of 200 senior site-reliability and DevOps leaders at large enterprises across the United States, United Kingdom, and European Union paints a stark picture of the hidden costs embedded in the AI coding boom. According to Lightrun's 2026 State of AI-Powered Engineering Report, shared exclusively with VentureBeat ahead of its public release, 43% of AI-generated code changes require manual debugging in production environments even after passing quality assurance and staging tests. Not a single respondent said their organization could verify ...