Codewithantonio

Yes — Antonio published a full tutorial walking viewers through building a Cursor-style AI IDE from scratch using Next.js 16 and Convex. The project covers replicating the core AI-assisted coding experience rather than just the UI shell, making it one of the more ambitious clone projects on his channel.

Antonio released a build-and-deploy tutorial recreating a workflow automation platform similar to N8N and Zapier, built with Next.js 15, React, Better Auth, and Polar. The project teaches viewers how to architect multi-step automation pipelines and handle user authentication and billing within a single full-stack app.

Antonio describes himself as a professional software engineer with over seven years of industry experience across multiple programming languages and technologies. His channel grew out of that career background, which is why his tutorials tend to emphasize production-ready patterns rather than beginner toy projects.

Antonio's MCP server tutorial covers building a Model Context Protocol server from scratch, including local setup, remote deployment, OAuth integration, and Claude Skills — released in 2026 when MCP became a widely discussed standard for connecting AI models to external tools. It's aimed at developers who want to extend Claude or similar models with custom capabilities.

His recent sponsors include OpenAI, Clerk, Polar, CodeRabbit, and NEON Adventures — all developer-tool companies that align tightly with his full-stack and AI content. Clerk and Polar actually appear inside his tutorials as the auth and billing layers he builds with, so the sponsorships often double as genuine product integrations.

Antonio uses both, depending on the project — Clerk appears as a sponsor and authentication solution in several videos, while Better Auth shows up in his N8N/Zapier clone and AI automation platform builds. His tutorials tend to explain the trade-offs between the two approaches rather than defaulting to one every time.

Antonio released a full-stack tutorial building a voice-cloning SaaS application using Next.js and tRPC, with real AI voice APIs wired into the backend. The project covers the end-to-end product — user accounts, audio generation requests, and deployment — rather than stopping at a demo.

Antonio is based in Croatia, though the majority of his audience is in the United States, the United Kingdom, India, and Germany. His tutorials are in English and target an international developer audience.

Antonio's go-to stack centers on Next.js, React, TypeScript, tRPC, and Convex, with auth typically handled by Clerk or Better Auth and payments through Polar. In recent projects he's leaned heavily into AI integrations — Claude, OpenAI APIs, and agentic workflows — reflecting the broader shift in full-stack development toward AI-native apps.

The channel sits in the mid-tier range with well over 400,000 subscribers on YouTube, and his engagement rate runs more than double the category median for programming and tech content. His audience skews heavily male and is concentrated in the 25–34 age bracket typical of working developers.