How I use AI agents to turn ideas into public demos
Mikita Kizevich shares his workflow for using AI agents to create public demos. He emphasizes the importance of a repeatable process that includes idea generation, implementation, and runtime checks. Kizevich also discusses what works and what doesn't in his AI-assisted projects.
- ▪Kizevich's workflow starts with an idea and a target user, followed by describing the product flow to an AI coding agent.
- ▪He highlights the importance of running the result locally, checking logs, and correcting failures in the process.
- ▪Kizevich notes that small tasks and real UI checks yield the best results, while asking for a perfect startup in one prompt is ineffective.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3949651) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Mikita Kizevich / AI_Nikitka93 Posted on May 24 How I use AI agents to turn ideas into public demos #webdev #programming #javascript #ai 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.
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