How It All Started
It all began when I watched the keynotes of the latest AI models. I was completely flabbergasted! The possibilities seemed endless. I turned to my lovely colleague Daniël and declared with perhaps too much enthusiasm: "We can build everything now! I could even build an app a day!"
Daniël's response? A simple grin and two words that sealed my fate: "Challenge accepted."
And that's how I ended up here - stuck with my own bold claim, turning caffeine into code, one app at a time. Sometimes your mouth writes checks that your keyboard has to cash! 😅
The Rules
Every good challenge needs rules. Here are mine (self-imposed, but Daniël is watching):
📅 30 Apps in 30 Days
One app per day, ideally. Some days might be more productive than others, but the total must be 30 functional applications.
💼 Weekdays Only
Monday through Friday only - because weekends are for having fun, not for having existential crises about why the deployment pipeline is broken.
🚀 Everything Must Deploy
Every app must be deployed and accessible. "It works on my machine" doesn't count - it needs to work on YOUR machine too!
What I Hope to Achieve
🚀 Push the Boundaries
Test how fast we can really go from idea to deployed app with AI assistance. Spoiler: It's faster than you think, but slower than my initial enthusiasm suggested!
🔧 Learn & Share
Discover what AI tools can and can't do. Share the victories, the failures, and the moments where I question my life choices.
🎉 Have Fun
Build cool stuff without overthinking it. If it works and it's deployed, it's a win. Perfect is the enemy of done (and of sleep).
⚠️ Important Disclaimer
AI-Generated Applications
All applications in this challenge are created with the assistance of generative AI tools.
This means that while I provide the creative direction, requirements, and overall vision for each application, the actual code implementation, design patterns, and technical solutions are generated through AI assistance. This approach allows for rapid prototyping and development at an unprecedented scale.
This transparency is important for understanding the context and methodology behind this challenge. The goal is to showcase what's possible with AI assistance, not to claim traditional development expertise.