AI is here—and it’s transforming software engineering faster than most leaders are prepared for. GenAI tools like Copilot and Cursor are boosting productivity by automating routine coding tasks, but they’re also contributing to significant layoffs. Pure software engineering roles are under threat, and leaders urgently need a plan to evolve their teams.

In this talk, Andrew Park—a longtime Engineering and Product Leader—delivers a clear, field-tested roadmap for evolving engineers in the AI era. He shows how to help your teams harness AI for speed—while leveling up in the areas GenAI can’t touch: product thinking, system design, craftsmanship, maintainability, and the collaboration skills needed to work across product, design, customers, and dependent teams.

You’ll walk away with a practical strategy for transforming engineering roles and building smaller, more capable teams—enabling your organization to meet executive demands to do more with less, without sacrificing product quality or long-term agility. This is how you secure engineering careers—and your product’s future—in an AI-driven world.

This talk is intended for engineering leaders, product leaders, technology executives, and software delivery leaders who are trying to understand how AI will reshape software engineering roles, team structures, and talent strategy.

It is especially relevant for CTOs, VPs of Engineering, Engineering Directors, Engineering Managers, Tech Leads, Product Leaders, Agile leaders, and senior software professionals responsible for improving productivity while protecting product quality, maintainability, and long-term delivery capability.

The session is best suited for leaders who are under pressure to do more with smaller teams, adopt AI coding tools responsibly, and prepare their engineers for a future where pure coding skill is no longer enough. Attendees should be interested in practical strategies for evolving software engineers into higher-value professionals who combine AI fluency with product thinking, system design judgment, technical craftsmanship, maintainability discipline, and stronger collaboration across product, design, customer, and dependent-team boundaries.

This talk will be particularly valuable for organizations that want to use AI to increase engineering output without creating fragile codebases, hollowing out technical talent, or weakening the human judgment required to build durable software products.

First public delivery:
DeveloperWeek Leadership on May 28,2025 in San Francisco.

Preferred session duration:
50 mins including Q&A.