Building DailyMood: How We Used AI-Assisted Development to Ship a Full-Stack Mood Tracker in Two Sprints

Introduction What does it look like to build a production-ready full-stack web application in 2 sprints, with AI as a core part of the development process? That was the challenge we took on with DailyMood, a mood tracking app that lets users log how they feel each day, browse their history on a calendar, and understand their emotional patterns through a trends dashboard. In this post we walk through the technical decisions we made, the architecture we landed on, the challenges we hit along the way, and most importantly, how we used two distinct AI modalities to accelerate every phase of the project without sacrificing code quality. The code is available on GitHub: https://github.com/arinaa77/DailyMood-An-AI-Powered-Mood-Tracker The live application is available at: https://daily-mood-an-ai-powered-mood-track.vercel.app The Problem We Were Solving Most journaling and mood tracking apps ask for too much. They want paragraphs, categories, tags, and ratings before you have even finished yo