As AI becomes integral to modern web applications, frontend engineers face a new architectural challenge: prompts are no longer just strings; they're becoming first-class citizens in our codebases, as critical as components, hooks, or API calls. Yet most teams treat them as afterthoughts, leading to inconsistent AI experiences, untestable interactions, and mounting technical debt.
This talk introduces Prompt Architecture, a systematic approach to designing, versioning, testing, and scaling AI interactions in frontend applications.
With AI features becoming standard in user-facing applications, the frontend is no longer just consuming AI; it's orchestrating it. Engineers who understand prompt architecture will build more reliable, cost-effective, and delightful AI experiences.
This talk draws from real production experience building AI-powered applications, including intelligent code checkers, AI tutors, and health assessment tools serving thousands of users.