
Travis is a Distinguished Software Engineer at SPS Commerce, the world's largest retail network, where he leads innovation, drives meaningful change, and amplifies team productivity. With a passion for technology and a talent for simplifying complex architectures, Travis focuses on creating seamless Developer Experiences and fostering high-performing teams. A seasoned speaker, architect, and blogger, he thrives on sharing insights, exploring emerging technologies, and championing impactful development practices.
AI Enablement in the SDLC: A Strategy Sampler
AI enablement isn’t buying Copilot and calling it done--it’s a system upgrade for the entire SDLC. Code completion helps, but the real bottlenecks live in reviews, testing, releases, documentation, governance, and knowledge flow. Achieving meaningful impact requires an operating model: guardrails, workflows, metrics, and change management; not a single tool. This session shares SPS Commerce’s field notes: stories, failures, and working theories from enabling AI across teams. You’ll get a sampler of adaptable patterns and anti-patterns spanning productivity, systems integration, guardrails, golden repositories, capturing tribal knowledge, API design, platform engineering, and internal developer portals. Come for practical menus you can pilot next week—and stay to compare strategies with peers.

A conference for Tech Leaders on the present and future of Artificial Intelligence
Includes a pass for the Devnexus Tech Leadership Track
8 practical sessions • Lunch Included • Networking Reception
We are past the point of asking if AI will change your business. The question is now how fast and how effectively you can wield it.
ADVANTAGE is the premier gathering for the technology leaders charged with navigating the AI revolution. Designed exclusively for CTOs, CIOs, VPs of Engineering, and Technical Leads, this isn't a conference about theoretical research—it’s a summit on practical implementation, governance, and scale.
In an era of overwhelming noise, ADVANTAGE provides the signal. We dissect the difference between flashy demos and production-ready architecture. We explore how to upskill your workforce, govern your data, and integrate LLMs into legacy systems without breaking them.
Join your peers to define the future of your stack, your product, and your organization.









