Up to 40% of code is now AI-generated, but developers trust AI output less than ever. The problem isn't the tools, it's that we're using them wrong. We treat development as uniform when AI tools excel at fundamentally different work: CLI agents like Claude Code are exceptional at broad scaffolding, while IDE tools like Copilot dominate precise refinement. I'll present a phased development model drawn from building architecture and film production that separates generative work from refinement work, aligns the right tools to each phase, and introduces the "scaffold" as a new artifact type between specification and finished software.
Come to this session with some knowledge of AI coding tools; understand typical AGILE/SCRUM methodology in enterprise software development.
Leave with a strong understanding of how AI fits in software development.
Audience
Intermediate
Session Category
Content Management and Commerce
Speaker(s)