All | AI Photography | Generative Art | Vibe Coding
Ideating. Developing. Releasing.
Harnessing AI to make a working iPhone photography app.
Introducing Picq.
The AI that helps you understand how to take better photographs while you shoot.
I love photography. It’s been a passion of mine since my youth.
People often ask how I capture my photos and how they can improve their photography skills. I usually spend a lot of time helping others or creating educational guides on how to use a camera more effectively.
With the rapid rise of AI, I wondered if it was possible to develop a tool that would enable people to learn photography in real-time.
So I started (ambitiously) vibe coding a photography app that does just that. Say hello to Picq.
From ambition to functional app in no time.
Throughout my product design career, I’ve relied on design briefs, product roadmaps, testing and iteration, and engineering relationships to release products to the market successfully. It takes a tremendous amount of time and resources to fulfill.
Then came AI. Now, a designer like myself can come up with an idea, modify it as needed, and launch it within a fraction of the time it would have taken previously.
I used to hand-code, so I can recognize that the vibe coding process is not perfect yet. However, I see the evolution happening, and it’s moving quickly.
Work in progress, always.
Reminder, Picq is experimental.
Prompt coding is far easier than traditional coding, but it has its challenges. For instance, I often found myself arguing with the AI. Especially when it claims to have fixed something, but it didn’t. I had to devise creative workarounds to solve these issues. It’s still the early days of this new way of coding, but the future is definitely here.
Picq is an experiment, and it’s not perfect yet. I’d love to receive your feedback on potential improvements.
How I made Picq
Tools Leveraged:
Claude Sonnet 4.5 (via Rork)
OpenAI Vision API (AI service)
ChatGPT (Icon design, copywriting, & legal)
Figma (UI design)
Photoshop (Marketing material)
Midjourney (Background design)
AI Tool Ratio: 70% Agentic / 30% Manual
Total Accumulated Time: 32 Hours
Time Allocation: 25% Making / 75% Debugging
All | AI Photography | Gen Art | Vibe Coding