20 Vibe Coding Tips I Learned After building 100+ Projects With AI

About this Video

• Video Title: 20 Vibe Coding Tips I Learned After building 100+ Projects With AI
• Channel: Kevin Badi | AI No-Code
• Speakers: Kev
• Duration: 00:46:08

Introduction

This video provides 20 tips for beginners in AI "vibe coding," a method for building AI-powered applications. The speaker, Kev, shares lessons learned from building over 100 projects and running a successful AI agency. The tips cover various aspects, from pre-build checklists and database design to API integration, debugging, app security, deployment, and effective prompt engineering.

Key Takeaways

1. Pre-build Checklist: Before starting, prepare necessary APIs, tools, a rough database architecture, and a basic app design.
2. Database Column Types: Understand different data storage methods in your chosen database (e.g., Neon).
3. First Prompt: Begin with a clear prompt outlining your tech stack and project flow, specifying pages and functionalities.
4. AI-Driven Database Building: Leverage AI agents (like Replit) to automatically build database schemas based on your specifications.
5. Idea Generation During Development: New ideas often emerge during the building process; remain open to pivoting.
6. Make.com/n8n Agents: Use Make.com or n8n for custom B2B applications; avoid them for generalized B2C SaaS.
7. API Integration: Understand API-specific instructions and integrate seamlessly with your chosen platform (e.g., Replit).
8. UI Enhancement with 21st Dev: Use 21st Dev's free component library to quickly create visually appealing UIs.
9. Fast Error Debugging: Check API portals, use Replit's console and dev tools, add logs for detailed error information, and iterate on prompts.
10. App Security: Implement API rate limiting, use vulnerability checkers (like Code Rabbit AI), and seek community reviews.
11. Deployment and Server Limitations: Understand server limitations (e.g., file upload size on Replit) and choose appropriate deployment platforms (Replit, Vercel, AWS).
12. Prompt Engineering: Use clear, concise prompts, explain your understanding before implementation, and iterate for optimal results.
13. Agent Memory Management: Start new chats to refresh agent memory and improve efficiency; use GitHub for code versioning and rollbacks.
14. Marketer Lens: Frame your app with a concise description of its function and target audience.
15. Competitive Reverse Engineering: Analyze competitor features to inspire your own development and prompt the AI for implementation details.
16. Extensive Questioning: Ask numerous clarifying questions to fully grasp the project's intricacies and refine your explanations.
17. Code Rollbacks: Know when to revert to a previous code checkpoint to overcome intractable issues.
18. No-Code Academy Resources: Utilize the academy's community, courses, and support for faster progress.
19. Screenshots for Clarification: Provide screenshots of errors to the AI agent for more effective debugging.
20. Patience Over "Vibes": Success in vibe coding requires patience and consistent learning, not solely positive energy.