Software Life Cycle Development and AI

The organizational transformation discussion.
How do you migrate from legacy delivery metrics to AI-native success measures?
How do you build governance frameworks that enable innovation while managing risk? This session defines your roadmap for the next few delivery cycles.
The patterns we identified: the transition from AI-assisted development to AI-native organizational structures. Companies are implementing continuous calibration frameworks for non-deterministic systems, deploying agentic workflows that evolve through production feedback, and discovering that traditional software engineering assumptions require fundamental reassessment.
Your participation in these discussions is strategic. The teams defining next-generation development practices are actively engaging in these collaborative problem-solving sessions.
What insights will you contribute to navigate the shift from prototype to production-ready autonomous systems?
Show up. The future of software development is being architected through these conversations.