According to research from Leapwork, 68% of companies that integrated AI apps faced performance, accuracy, and reliability issues, indicating significant challenges in quality control.
Notable recent outages, including an incident at CrowdStrike, have been attributed to insufficient testing processes, emphasizing the need for evolving quality assurance practices alongside AI adoption.
Only 16% of companies consider their testing processes efficient, highlighting a critical gap in quality assurance as AI technologies enter the developer landscape.
Despite the rapid integration of AI technologies, concerns remain over the quality of AI-generated code, leading some organizations to ban LLM-bot generated code altogether.
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