How I use AI agents to turn ideas into public demos

Mikita Kizevich / AI_Nikitka93 — Sun, 24 May 2026 23:16:10 +0000

This is my first DEV Community note about my own AI-assisted creator workflow.

My name is Nikita Kizevich. I also publish as Mikita Kizevich, AI_Nikitka93 and Nikitka AI. I work across AI-generated photography, AI video, music, and AI-assisted software prototypes.

The core workflow is simple:

Start with an idea and a real target user.
Describe the product flow and constraints to an AI coding agent.
Run the result locally or in a browser.
Read the logs and browser behavior.
Send concrete failures back into the loop.
Package only what is honest to publish: demo, prototype, case study, or production-ready project.

The useful part is not "AI wrote code for me". The useful part is the repeatable loop: idea -> implementation -> runtime check -> correction -> public artifact.

What works best:

small tasks;
browser screenshots and real UI checks;
logs instead of vague "it does not work";
honest public wording;
keeping GitHub as a living portfolio, not a fixed list.

What does not work:

asking for a perfect startup in one prompt;
publishing generated UI without opening it;
calling every prototype production-ready;
hiding where AI was used.

My public GitHub is here:

https://github.com/AI-Nikitka93

DEV Community: Mikita Kizevich / AI_Nikitka93

How I use AI agents to turn ideas into public demos