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Research:Question-27-Individual-Workflow-Adaptation
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=== Research Design === The investigation employed a '''longitudinal mixed-methods design''' tracking individual developers across 18 months of AI tool integration, combining quantitative skill assessments with qualitative workflow analysis. '''Participant Sample:''' * '''300 individual developers''' across multiple organizations and experience levels * '''Experience distribution:''' Junior (30%), Intermediate (45%), Senior (25%) * '''Domain coverage:''' Web development (40%), Backend systems (25%), Data science (20%), Mobile (15%) * '''Geographic distribution:''' Global sample across time zones and cultures '''Timeline Structure:''' * '''Baseline assessment''' (Month 0): Pre-AI capability measurement and workflow documentation * '''Early adaptation''' (Months 1-3): Initial AI tool integration and learning patterns * '''Adaptation development''' (Months 4-9): Workflow stabilization and optimization * '''Maturity assessment''' (Months 10-18): Long-term impact evaluation and pattern analysis
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