Work Smarter, Not Harder: How AI Makes Developers More Productive

Developers are under pressure to deliver more features, fix more bugs, and handle increasingly complex systems—all without burning out. But what if the key to higher productivity isn’t to work harder, but smarter?

In this session, we’ll explore how AI can act as a developer accelerator across the full development lifecycle—from clarifying requirements and scaffolding BoxLang and CFML code, to debugging faster, refactoring legacy logic, and generating tests and documentation.

Using real-world scenarios and live examples, we’ll demonstrate how AI can function as a developer, thought partner, and productivity assistant. This is not an AI hype talk or a replacement-for-developers story—it’s about using AI to remove friction from everyday work.

Attendees will learn practical techniques and reusable prompt patterns to reduce time spent on repetitive tasks, eliminate technical roadblocks faster, and regain momentum when they’re stuck—without sacrificing code quality.

If you’ve ever thought, “there has to be a faster way to do this,” chances are AI already knows it. This session shows you how.

Target Audience

• Developers working with the Box ecosystem (BoxLang, ColdBox, CFML)
• Developers who are busy, hands-on, and responsible for delivering features, fixing bugs, and maintaining systems
• Developers who don’t have time to learn AI deeply, but want immediate practical benefits from it