Are we on the cusp of an AI software development singularity? Will our keyboards gather dust as we command legions of AI coding minions?

The introduction of ChatGPT wasn't just a chatbot flexing its linguistic muscles; it was a shot heard 'round the software world, igniting an AI revolution that's already rewriting the development playbook. We've seen the appetizers – AI suggesting code, whipping up tests, and even attempting to write documentation (bless its heart). But what happens when AI moves from helpful assistant to, dare we say, *autonomous agent*? The impending evolution of the developer from code artisan to **AI Development Orchestrator**. Forget slinging semicolons all day; the future belongs to those who can define the grand strategy, set the rules of engagement, and conduct their AI armies to build, test, deploy, and optimize code at ludicrous speed.

But how will leaders adapt and evolve to how software teams work in this age of agentic AI-enabled software development? How will we help our teams navigate this evolution? Will current software codebases and applications move into this new way of creating software, or be left behind to develop software "the old way". One industry analyst jokingly (we think?) dubbed these future leaders the "Dark Overlords of Software" – not because they'll be evil, but because they'll wield immense capabilities from orchestrating vast AI forces.

Our roundtable of industry experts dives deep into the concepts of "vibe coding" to understand where software development, testing, DevOps, and platform engineering are headed while operating under the watchful eye of AI and automation.

Tune in to learn:
• How the AI revolution, ignited by tools like ChatGPT, is fundamentally reshaping the software development lifecycle and the strategic implications for team structures and talent management.
• The crucial leadership skills required to guide their teams in evolving from traditional coding roles to orchestrating AI-powered development workflows and fostering a culture of AI collaboration.
• Practical insights into establishing the architectural vision, defining governance policies, and setting business logic to effectively guide and align AI agents within their software development initiatives.
• How to strategically invest in and build robust platform engineering foundations to empower their teams to leverage AI at scale while maintaining quality, security, and operational efficiency across the organization.

Join our panel of thought leaders as we bravely peer into the crystal ball to discuss what's next for AI in development.