Human-Centric Agile Disciplines for AI Code Generation

About This Talk

As AI code generation tools become standard practice, the human disciplines that ensure software quality become more critical—not less. This talk examines how test-driven development, code review, pair programming, and continuous integration serve as essential guardrails when AI generates code at scale.

Drawing on DORA research, real-world team archetypes, and practical measurement strategies, the presentation offers concrete guidance for organizations navigating the transition from AI experiments to sustainable engineering practices.