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Built a weather app with AI-generated summaries and city bookmarking—feedback welcome (took me 9-10 days; learned a lot)

A developer built a weather app featuring AI-generated natural language summaries, dynamic backgrounds, city search with live suggestions, and bookmarking with localStorage. The project, built with React and Vite and deployed on Vercel, took 9-10 days and involved challenges such as debouncing API calls, handling duplicate city names, and persisting bookmarks.

read1 min views1 publishedJul 25, 2026

Hey everyone, wanted to share a project I just finished. It's a weather app, but I tried to push past the typical "fetch API, show temperature" tutorial project.

Features:

AI-generated natural language weather summaries instead of raw numbers

Dynamic backgrounds that change based on real weather conditions

City search with live suggestions as you type

Bookmark/favorite cities, persisted with localStorage

Stack: React + Vite, deployed on Vercel

Stuff that actually gave me trouble:

Debouncing the city search so it doesn't spam the API on every keystroke

Duplicate city names across countries messing up search results

Bookmarks kept vanishing on refresh until I realized I wasn't persisting state properly

Syncing background image changes with API response timing without a jarring flash

It took about 9-10 days total, mostly because I kept refactoring state management once bookmarks, search, and multi-city display all had to interact. Still learning, so genuinely open to criticism — especially on component structure, since that's where I feel least confident.

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