AI converts screenshots or visual designs into HTML, CSS, or React components, speeding up UI implementation and early prototyping.
Developers still need to verify accessibility, responsiveness, design fidelity, and whether the generated UI fits real product requirements.
AI recreates a marketing page from a screenshot as editable React or Next.js components for rapid experimentation.
v0 / Builder.io Visual CopilotAI converts a designed screen into framework-specific components that developers can integrate into an existing frontend codebase.
Builder.io Visual Copilot / LocofyAI transforms a static app mockup into a responsive prototype with reusable layout sections, buttons, and form elements.
v0 / CursorI help companies navigate AI adoption -- from strategy to production. Whether you are building your first LLM-powered feature or scaling an agentic system, I can help you get it right.
Design and build LLM-powered products and agentic systems
Go from idea to production with a clear implementation roadmap
Build AI with human-in-the-loop in regulated environments
Over the past few months, I’ve been creating projects/applications with AI-powered coding assistants, and the experience has been nothing short of transformative. What started as curiosity has evolved into a fundamental shift in how I approach software development. Here’s what I learned about the capabilities, limitations, and best practices of coding with AI.