Scott Howard
Scott is a Senior DevOps Engineer with Liatrio, focusing on expediting world-class software delivery for enterprises by building advanced DevOps platforms powered by open source, coaching engineering and business teams along the way. With over a decade of experience in tech, Scott has worked as a consultant across a range of industries including Education, FinTech, Retail, Aviation, Life Sciences, and Healthcare, helping organizations modernize their software delivery practices. Prior to consulting, he worked in the defense industry, developing applications for Naval missile and automated vehicle defense systems. Scott holds a BS and MS in Computer Science from Rowan University, and when he's not building pipelines, he can be found reading Stephen King, playing guitar, or kayaking the rivers of southern New Jersey where he resides with his wife, dog, and three cats.
Session
Generative AI is revolutionizing the technology industry at an unprecedented pace, reshaping how professionals develop software, write documentation, and solve complex problems. While this rapid evolution presents opportunities for efficiency and acceleration, it also raises critical questions about dependency, reliability, and best practices. By integrating AI into workflows without compromising core engineering principles, technology professionals can harness its potential while maintaining control and quality in their work.
This talk explores three fundamental best practices for leveraging generative AI effectively: small batch delivery, thoughtful evaluation, and observability-driven development. These principles ensure that AI-generated outputs remain manageable, high-quality, and transparent. Additionally, the discussion extends to scenarios where AI can take the lead. By thoughtfully incorporating AI into software development, engineers can strike a balance between innovation and responsibility, ensuring sustainable and maintainable technical solutions.