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Vibe Coding: The Complete Guide to AI-Assisted Development
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Vibe Coding: The Complete Guide to AI-Assisted Development

After 6 months of vibe coding full-time, here's everything I've learned about this new paradigm of AI-assisted software development.

C

Charles Kim

Conversational AI Lead at HelloFresh

14 min readJan 5, 202642.4k views
Vibe Coding
AI Development
Claude Code
Cursor
Productivity

"Vibe coding" isn't just a buzzword—it's a fundamentally different approach to software development that's emerging from the AI era. Instead of painstakingly writing every line of code, you describe what you want and let AI handle the implementation details.

After six months of vibe coding full-time, here's everything I've learned.

Vibe Coding
Vibe coding changes the relationship between intent and implementation.

What Is Vibe Coding?

Vibe coding is a development approach where you:

  1. Describe the vibe - What should this feel like? What's the user experience?
  2. Let AI generate - The AI produces code matching your description
  3. Iterate conversationally - Refine through natural language feedback
  4. Validate and ship - Review, test, and deploy

It's less about syntax and more about intention.

My Vibe Coding Setup

Here's the stack I use daily:

ToolPurposeWhy I Love It
Claude CodePrimary coding assistantBest code understanding
CursorAI-native IDESeamless integration
v0 by VercelUI generationInstant React components
CopilotAutocompleteFast inline suggestions

The Workflow

1. Start with natural language description
2. Generate initial implementation
3. Run and observe behavior
4. Describe adjustments needed
5. Iterate until satisfied
6. Review final code for quality
7. Write tests (also with AI help)
8. Ship

Real Examples

Example 1: Building a Dashboard

Traditional Approach:

  • Plan component structure
  • Write layout CSS
  • Implement data fetching
  • Build individual widgets
  • Add interactivity
  • Style and polish

Time: 8-12 hours

Vibe Coding Approach:

"Create a dashboard with a sidebar navigation, main content area showing key metrics in cards, a line chart for weekly trends, and a recent activity feed. Use a modern dark theme with subtle gradients. Make it feel premium and data-rich."

Time: 45 minutes to working prototype

Example 2: API Integration

Traditional:

  • Read API documentation
  • Write HTTP client code
  • Handle authentication
  • Parse responses
  • Implement error handling
  • Add retry logic

Time: 3-4 hours

Vibe Coding:

"Integrate with the Stripe API. I need to create customers, manage subscriptions, and handle webhooks for payment events. Use TypeScript with proper error handling and logging."

Time: 30 minutes

The Skills That Still Matter

Vibe coding doesn't eliminate the need for technical skills—it changes which ones matter most:

Less ImportantMore Important
Syntax memorizationSystem design
Boilerplate codeArchitecture decisions
Framework specificsProblem decomposition
Language quirksCode review skills
Typing speedCommunication clarity

When Vibe Coding Works Best

Ideal scenarios:

  • Prototyping - Get ideas into code quickly
  • CRUD applications - Standard patterns with variations
  • UI development - Describe and generate interfaces
  • Scripting - Automate without sweating details
  • Learning - Explore new frameworks and languages

Less ideal scenarios:

  • Performance-critical code - Need fine-grained control
  • Security-sensitive code - Require careful review
  • Novel algorithms - AI struggles with truly new approaches
  • Legacy systems - Complex existing contexts
Developer Working
The best developers combine vibe coding with deep technical understanding.

Common Mistakes to Avoid

Mistake 1: Accepting Code Without Understanding

Just because AI wrote it doesn't mean it's correct. Always:

  • Read through generated code
  • Understand the approach taken
  • Question design decisions

Mistake 2: Over-Prompting

Don't try to specify every detail upfront. Instead:

  • Start with high-level intent
  • Iterate based on output
  • Add constraints as needed

Mistake 3: Ignoring Tests

AI-generated code needs testing too:

  • Ask AI to generate tests
  • Verify edge cases
  • Don't assume correctness

Mistake 4: Copy-Paste Mentality

Vibe coding isn't about blind copying:

  • Adapt code to your context
  • Maintain consistent patterns
  • Integrate thoughtfully

Productivity Gains

Based on my tracking over 6 months:

Task TypeTime BeforeTime AfterImprovement
New feature8 hours2 hours75% faster
Bug fix2 hours30 min75% faster
Refactoring4 hours1 hour75% faster
Documentation2 hours20 min83% faster
Code review1 hour30 min50% faster

Overall: 70-80% reduction in development time

The Future of Coding

I believe we're witnessing a fundamental shift:

Near-term (2026-2027)

  • Vibe coding becomes mainstream
  • Junior roles shift toward AI supervision
  • Senior roles focus on architecture and review

Medium-term (2027-2029)

  • Natural language becomes primary interface
  • Code becomes implementation detail
  • AI handles entire features autonomously

Long-term (2030+)

  • Software as expression of intent
  • Continuous AI-driven optimization
  • Human creativity fully unleashed

Getting Started

If you want to try vibe coding:

  1. Install Claude Code - Best starting point
  2. Start small - Generate scripts and utilities
  3. Build confidence - Gradually tackle larger tasks
  4. Always review - Never ship without understanding
  5. Stay curious - The tools improve weekly

*What's your experience with vibe coding? Share your thoughts on LinkedIn.*

C

Charles Kim

Conversational AI Lead at HelloFresh

Charles Kim brings 20+ years of technology experience to the AI space. Currently leading conversational AI initiatives at HelloFresh, he's passionate about vibe coding and generative AI—especially its broad applications across modalities. From enterprise systems to cutting-edge AI tools, Charles explores how technology can transform the way we work and create.

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