​Your prompts suck. Your AI outputs prove it.

​Most developers treat prompt engineering like magic - throw words at the AI and hope for the best. But getting consistent, production-quality results from AI requires actual engineering principles, not creative writing. This session reveals the systematic approach to prompt engineering that produces reliable results: using AI itself to debug your prompts, building constraint systems that prevent garbage outputs, and creating prompt architectures that scale across your entire development workflow. You’ll master:

• ​Why “be creative” prompts fail (and the structural patterns that don’t)

• ​How to reverse-engineer successful prompts using AI feedback loops

• ​Constraint engineering that eliminates 90% of useless AI outputs

• ​The prompt versioning and testing strategies that actually work in production

​Perfect for: Developers integrating AI into workflows, technical writers automating documentation, and anyone tired of playing prompt lottery with inconsistent results.

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​Martin Rojas

​I'm a UI Architect with over a decade of experience crafting intuitive user interfaces for enterprise, retail, and consumer applications. I specialize in building dynamic and adaptable experiences with React (SPAs), Next.js (SSR), Nuxt.js, and React Native. My passion lies in leveraging modern front-end technologies to deliver exceptional user experiences.