Building an Application with Copilot and Lovable: The Easy, the Hard, and the Unexpected
AI can generate applications quickly, but turning generated code into a reliable product requires much more than prompting.
In this session, I share my experience building PBIX A11y (a free browser-based accessibility checker for Power BI) using Copilot and Lovable from the perspective of a domain expert rather than a traditional developer.
We will explore the easy parts of AI-assisted development, the harder lessons around testing and validating generated code, and the unexpected challenges beyond development, including data privacy, GDPR and SEO considerations.
A practical look at what it takes to move from an idea to a working application when AI becomes your development partner.
About the speaker
Juliana Smith
Juliana Smith is a multi‑award‑winning data expert with a background in Physical Oceanography. For over 15 years she has explored the stories hidden within data. Since 2020 she has specialised in analytics engineering and data design. Juliana translates complex datasets into accessible, actionable insights through thoughtful modelling, intuitive structures, and purposeful visual communication. Her work champions WCAG‑aligned accessibility, precision, and clarity, bridging the gap between raw data and human understanding to empower confident, informed decision‑making.