[Full Workshop] Vibe Coding at Scale: Customizing AI Assistants for Enterprise Environments

AI Assistant Customization in Enterprise - Systematic approaches are crucial for customizing AI assistants in complex enterprise codebases [1] - Specialized techniques are needed to navigate complex architectures [1] - Evidence-based strategies are essential for dealing with undocumented legacy systems [1] - Methodologies for maintaining context across polyglot environments are important [1] - Frameworks for standardizing AI usage while preserving developer autonomy are necessary [1] Industry Applications - Case studies from finance and healthcare demonstrate practical AI implementation [1] Evaluation Framework - A comprehensive evaluation framework bridges the gap between AI's theoretical capabilities and practical enterprise implementation [1] - The goal is to enable true flow-state collaboration in complex development ecosystems [1]