How I Ship Full-Stack Web Apps as a Vibe Coder Using Claude Code and Modern Cloud
For the past year, my software development approach has fundamentally shifted. Rather than writing boilerplate infrastructure line by line, I operate as an AI-native builder—frequently described today as a "vibe coder." My focus is simple: turning functional ideas into live, production-ready web so

For the past year, my software development approach has fundamentally shifted. Rather than writing boilerplate infrastructure line by line, I operate as an AI-native builder—frequently described today as a "vibe coder."
My focus is simple: turning functional ideas into live, production-ready web software at rapid execution speed.
To maintain high development velocity without sacrificing reliability, I rely on a concrete modern workflow:
AI-Assisted Code Generation: Terminal-based agents like Claude Code, alongside tools like Lovable for interactive UI scaffolding.
Backend and State Management: Supabase for relational PostgreSQL databases, user authentication, and real-time triggers.
Infrastructure and Edge Deployment: Cloudflare Workers and Pages for lightning-fast routing and frontends, along with Render for long-running service instances.
Version Control: Standard Git workflows connected directly to automated GitHub CI/CD pipelines.
This pipeline isn't theoretical; it directly powers my active software builds under my brand, Lcino:
Find Profile: A multi-platform web discovery and scraping utility built to parse public profile data across major networks efficiently.
Medical Practice Management System: A specialized web application tailored for practicing physicians in Bangladesh to automate token management, digital prescriptions, and chamber scheduling.
The biggest lesson from shipping real applications with AI is that prompt engineering is only 20% of the battle. The remaining 80% is understanding system architecture:
Setting strict constraints so the AI produces clean, maintainable TypeScript.
Having immediate deployment pipelines so you can test breaking changes in real time.
I joined DEV to document real-world AI development workflows, test new cloud developer tooling during Hacktoberfest, and collaborate with other builders.
You can explore my background and active software projects at anamulhoque.com and lcino.com.
What does your AI development stack look like right now? Drop your setup below.