AI Coding
Cybersecurity statistics about ai coding
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74% of organizations report that at least 25% of AI-generated code requires significant rework in the past 12 months.
82% of organizations experienced at least one production failure tied to AI-generated code in the past six months.
0% of organizations ban vibe coding outright.
96% of technology leaders rate observability as very or extremely important when working with AI-generated code, and 0% rate it as slightly or not important.
78% of organizations report more incidents after deploying AI-generated code in the past 12 months.
19% of organizations report no AI-generated code challenges in the past six months.
88% of organizations include vibe coding in formal production policies.
5% of organizations restrict vibe coding to non-production environments.
62% of technology leaders report their engineering teams often trust AI-generated code enough to ship it to production without line-by-line manual verification.
61% of leaders rate AI-generated code as somewhat higher quality, 33% rate it as much higher, and 2% perceive it as lower quality.
78% of engineering teams routinely prompt AI tools to include specific telemetry (logs, traces, metrics) directly into generated code.
86% of organizations report an increase in the time senior staff spend fixing AI-generated code in the past 12 months.
67% of technology leaders state that AI now generates or significantly refactors between 51% and 75% of their organization's weekly code output.