CloudBees Reports 81% of Leaders Saw Production Failures From AI Code

CloudBees released findings from “State of Code Abundance 2026,” a survey focused on how AI-generated code is affecting development economics, governance, and production stability. The report matters because it connects code velocity with operational outcomes and cost tracking for enterprise engineering teams.

The survey covered more than 200 enterprise technology leaders and found that 81% reported production failures tied to AI-generated code. Respondents also reported rising infrastructure costs and weaker controls around AI-related spending, alongside a gap between ROI confidence and measurable attribution.

Across the results, 64% of leaders said AI was widely adopted or fully integrated into engineering workflows, while organizations still struggled to link AI-driven development to measurable ROI. Respondents reported 67% seeing higher code volume over the prior 12 months, and 36% tracking AI spend without measuring ROI or not measuring it at all. In parallel, only 27% reported hard limits or quotas on token usage and 18% reported automated controls.

As part of the research, CloudBees introduced the Code Abundance Readiness Evaluation (CARE) Index, described as a proprietary composite score using six dimensions to assess how enterprises track, attribute, and forecast AI-driven costs against productivity outcomes. The baseline was reported as 83.6/100, while the report also tied high self-reported ROI measurement confidence (51% very confident) to lower attribution to specific business outcomes (31%). CloudBees attributed its outlook and validation focus through quotes from Anuj Kapur and Phil Nash. “Enterprises are living through the same movie they watched with cloud. Adopt fast, figure out the economics and security implications later, and panic when the bill arrives,” said Anuj Kapur. “We've never been able to build and write code like this before; it's exhilarating. But we need to remember that code is just an artifact; it's not the actual outcome organizations are pursuing. The real outcome is a quality product. You don't get that until the code is verified, tested, audited, and deployed into the hands of users.” – Phil Nash.