According to a recent LinkedIn post from Qodo, survey data from 500 U.S. IT engineers and engineering leaders points to widespread AI-related production incidents in software development. The post cites that 89% of engineering organizations reported such incidents, with the highest outage rate observed among very large enterprises with more than 10,001 employees.
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The company’s LinkedIn post highlights a paradox in how teams are adapting to AI-generated code. It notes that 95% of developers reportedly review AI-generated code more rigorously than human-written code, and 41% spend more time on manual review than before AI tools, yet incidents and outages tied to AI-generated code appear to be rising.
According to the post, this dynamic suggests that organizations are absorbing the increased review burden manually, a strategy that may not scale as AI adoption expands. The post also points to correlations between the adoption of automated validation gates and outage rates across organization sizes, implying that automation in quality control could become a differentiating factor in operational risk management.
For investors, the themes in Qodo’s LinkedIn content may indicate growing market demand for tools that can systematically validate and govern AI-generated code, beyond manual review. If Qodo’s products or roadmap align with these needs, the trends described could support a larger addressable market in DevOps and software quality, particularly among large enterprises seeking to mitigate outage risks as AI development accelerates.