For decades, programming language popularity has been one of the strongest forces behind technology adoption.
But what happens when AI can help developers write code in languages they’ve never used before?
Does ecosystem size still matter? Does hiring become less important? Could runtime characteristics become a more important differentiator than language familiarity?
As AI changes how software is built, some long-standing assumptions about technology selection may no longer hold. This talk explores what happens when the cost of learning a language approaches zero—and what that could mean for BEAM.
Key Takeaways:
- Learn how AI is reshaping the relationship between developers, programming languages, and runtimes.
- Understand why language popularity may become less influential in technology adoption.
- Explore the implications of AI-assisted onboarding for BEAM technologies.
- Examine which platform characteristics continue to matter when AI helps bridge knowledge gaps.
- Develop a new perspective on BEAM’s opportunities in the AI era.
Target Audience:
- Engineers, architects, engineering managers, and technology leaders interested in how AI is changing software development, technology adoption, and the future competitiveness of BEAM.