Insights by Lucian Vasiliu

The experiment shows that AI-assisted development becomes reliable only when grounded in structured documentation rather than exploratory prompting. Early output appeared productive but lacked coherence, revealing that incomplete context leads to fragile systems and inefficient iteration. By shifting to short cycles where documentation, constraints and specifications are continuously refined, teams gain more predictable implementation outcomes. Over time, the workflow evolves into a controlled system where AI operates within clearly defined boundaries, reinforcing the role of product reasoning and engineering discipline in shaping results.

Our team has just completed the 8th sprint in this new and exciting project and we decided to document our journey, sprinkled with challenges, wins and lessons learned.

Today we’re taking a look at AWS Amplify. If you’re not familiar with it, Amplify is a development platform for building secure, scalable mobile and web applications provided by AWS. Moving away from the commercial definition of it, you’ll also hear AWS Amplify being described as a framework that provides products to build full-stack iOS, Android, Web, and React Native apps.

What is TypeScript? To start with a definition: