How Vibe Coding Helped Me Turn Imagination Into Reality

I'm a former full-time developer, and while I haven't worked in production code for over a decade, I occasionally write micro-scale scripts—automating tasks or crunching data.
But recently, I challenged myself to build something bigger: an AI-powered portfolio website. My goal wasn’t just to showcase skills—I wanted to dive into how RAG (retrieval-augmented generation) works in a real-world setting.
This time, I wasn't alone. I was vibe-coding with Gemini.
What Is “Vibe Coding”?
Coined by AI insiders like Andrej Karpathy, vibe coding is the term for a new, AI-assisted development style:
“You just see stuff, say stuff, run stuff, and copy‑paste stuff—and it mostly works.”
It's less about writing perfect code and more about flow. You ideate, prompt the AI, try things out, and keep iterating.
For me, this style of coding was liberating:
- I had a vision
- I wasn't afraid to break things
- And Gemini helped me translate imagination into code
Whether you're exploring an idea or building a prototype at 2AM, vibe coding is your creative zone.
Key Traits of Vibe Coding
- Prompt-driven — communicate in natural language
- Fast-paced — code-first, refine later
- Flexible — ideal for prototypes or side projects
- Collaborative — AI is your pair programmer
It’s not a trend. It’s a legit shift in how we write software—especially with tools like Gemini.
Tools I Used
To bring my idea to life, here’s my stack:
- Visual Studio Code – The workspace
- Gemini Pro – Broad context understanding
- Gemini Code Assist for Visual Studio Code – Inline code editing
- Gemini CLI – Code generation from terminal commands
These tools let me go from concept to deployment in a tight feedback loop.
What You Need to Get Started
- Basic technical understanding
- A big imagination
- Patience (lots of it)
If you lack patience, you’ll need deeper technical knowledge to guide the AI. Otherwise, embrace the chaos and learn as you go.
My Workflow
Simple Vibe Coding Flow
A high-level overview of how imagination connects with each Gemini tool:
flowchart LR
A[Imagination]
C[Gemini Chat]
D[Code Assist]
E[CLI]
A --> C
A --> D
A --> E
C --> D
C --> E
D --> C
E --> C
Complete Flow
flowchart LR
A[Imagination]
B[Problem]
C[Gemini Chat]
D[Code Assist]
E[CLI]
A --> C
A --> D
A --> E
B --> C
B --> D
B --> E
C --> D
C --> E
D --> C
E --> C
How to Use These Diagrams
- Imagination fuels your prompts.
- Gemini Chat helps translate vision into logic.
- Code Assist and CLI help refine or automate the implementation.
- The flow is flexible—loop back anytime.
1. Start With a Clear Vision
My prompt to myself was simple:
“I want to build an AI-powered portfolio website.”
No Figma. No specs. Just vibes.
2. Plan with Gemini Chat
Gemini Chat is your systems thinker.
- It sees broad architectural patterns
- Helps design file structures
- Understands context and logic deeply
I used it to understand RAG, plan JAMstack flows, and validate my app structure.
3. Refine with Gemini Code Assist & CLI
Once the big ideas were in place, it was time to sharpen the details.
Code Assist

- Handy for small tasks and UI edits
- Works directly inside VS Code
- Sometimes stalls with long responses
CLI

- Ideal for automating boilerplate
- Best for scaffold-heavy workflows
- Requires CLI knowledge
Comprehensive Comparison Table
Feature / Tool | Gemini Chat | Code Assist | Gemini CLI |
---|---|---|---|
Best For | Planning, Debugging | Edits & Fixes | Scaffolding & Automation |
Skill Level | Beginner - Intermediate | Intermediate - Advanced | Advanced / CLI users |
Ease of Use | ⭐⭐⭐⭐☆ | ⭐⭐☆☆☆ | ⭐☆☆☆☆ |
Code Awareness | Full context understanding | Single-file only | Limited, depends on prompt |
Code Insertion | Manual | In-editor | Terminal automation |
Response Stability | High | Mid (can cut off) | Mid (can misfire) |
Limitations & Frustrations
- Long snippets cut off in Code Assist
- CLI sometimes loses context
- Still requires good prompting
- No true multi-file awareness
AI is powerful, but it still needs you. AI is still a tool—not a replacement.
Why AI Won’t Replace Developers (Yet)
Despite the hype, AI coding tools aren’t ready to fully replace human developers.
Trusted Perspectives
- AI can’t understand full systems or adapt to changing business rules without help (Forbes).
- GitHub’s CEO stated AI will increase , not decrease, the need for good engineers (Business Insider).
- Real-world dev requires logic, ethics, debugging, teamwork—things AI can’t do alone (Built In).
AI helps. But it doesn’t replace intuition or judgment.
✨ Final Thoughts
This wasn’t just about building a website. It was about rediscovering the joy of making. And I did it vibe-coding with Gemini.
👉 Try It Yourself
Have an idea? Start small. Don’t overthink it. Open Gemini and prompt it. When you vibe with your tools, amazing things happen.
Or just chat with Nait