I Tested The Top 3 AIs for Vibe Coding (Shocking Winner)

· Source: Siraj Raval · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Novice, long

Summary

Siraj Draval introduces "Vibe Coding," a no-code, AI-driven approach to website development, emphasizing speed and accessibility. The method follows three Ps: Plan, Prompt, and Polish. Draval demonstrates building a personal website using Replet, highlighting its real-time preview and retrieval-augmented generation capabilities for initial deployment. He then explores advanced AI coding assistants like Cursor, showcasing its integration with GPT-5, Claude Code, and Gemini. The process involves defining "Cursor Rules" for a structured plan and deploying to platforms like Heroku. Draval also introduces "Vibe Debugging" with the "vibe loop" (prompt, run, break, fix, repeat) and the use of Model Context Protocols (MCP) with Playwright for automated debugging. He concludes by discussing Claude Code's dedicated developer tool and "Vibe Walking" with Meta glasses and Vibe Tunnel for mobile coding, while also cautioning against common traps like giant prompts, fear of breaking things, AI addiction, and "AI slop."

Key takeaway

For software engineers or entrepreneurs looking to rapidly prototype web applications without deep coding expertise, Vibe Coding offers a compelling workflow. You should adopt the "Plan, Prompt, Polish" framework and leverage AI coding assistants like Cursor or Claude Code, defining clear rules and using modular prompts. Be prepared for "vibe debugging" through iterative fixes, and consider integrating tools like Playwright for automated error resolution to accelerate your development cycle.

Key insights

Vibe Coding enables rapid, no-code website development using AI, emphasizing iterative prompting and debugging.

Principles

Method

The Vibe Coding process involves planning, prompting AI tools (like Replet, Cursor, Claude Code) to generate code, and then polishing the output, often through iterative "vibe debugging" and automated tools like Playwright.

In practice

Topics

Best for: AI Student, Software Engineer, Entrepreneur

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Editorial summary, takeaway, and curation by AIssential. Original article published by Siraj Raval.