About This Session
The rise of generative AI has created a significant paradox at the core of the software industry. On one side, AI co-pilots are automating entry-level tasks—such as code generation, testing, and boilerplate work—leading to a damaging "broken first rung" for recent computer science graduates, with job postings decreasing sharply and requirements for experience increasing. This disruption threatens to destroy the crucial talent pipeline needed for future innovation, as senior engineers are not simply born; they are developed through mentorship and hands-on experience that AI is now replacing. At the same time, this powerful technology democratizes development, enabling non-engineers (citizen developers) to build functional applications more quickly than ever before. This rise in easy, low-code/no-code, AI-assisted development presents a strong, deflationary threat to established software companies, service agencies, and the traditional billable-hour model. The key question is: how can organizations capitalize on AI’s undeniable productivity boost without incurring disastrous technical debt, security vulnerabilities, or organizational self-destruction? This session will go beyond the hype to present a dual-focused strategic plan, explaining how engineers must shift from being mere coders to architects and how companies should implement strong AI governance frameworks to manage the wave of decentralized code creation—ensuring the future pipeline is reinvented, not replaced.
Topics
- AI Coding Assistants
- Agentic AI
- Developer Experience (DevEx)
- Software Architecture