Part 1: Keeping Up With The Pace Of GenAI Innovation

This four-part blog series explores how Generative Artificial Intelligence (GenAI) is transforming software delivery and the challenges it introduces. GenAI is changing the types of software being built, with many product teams now asked to "build with AI" in their core products. However, taking non-deterministic applications to production at enterprise scale is complicated and risky due to factors such as rapid innovation in LLMs, pressure to improve models, and challenges in finding optimal prompt & model configurations. Balancing safety and reliability while constantly optimizing for state-of-the-art experiences is critical as GenAI features become expected in modern software experiences. The next blog will cover how GenAI development differs from the traditional SDLC and the types of challenges and opportunities it introduces.