My 30-Day Vibe Coding Journey: A Junior Developer's Honest Take

From skeptic to believer - here's what I learned about AI-assisted development

I'll be honest with you – when I first posted that short video about vibe coding potentially taking our jobs and AI not writing proper code, I was pretty skeptical. But instead of just complaining from the sidelines, I decided to put my money where my mouth was. I gave myself a challenge: try vibe coding for an entire month and see what happens.

(Context, Link to the short: https://youtube.com/shorts/pwhRC2SZ9zE?si=I2TcCmZu5noNCK-y) This short is in Hindi. For those who don’t understand the language, I talked about why I don’t think AI is going to take away coding jobs.

Long story short? I'm absolutely blown away by the results.

But before you think this is another "AI will save us all" post, let me be clear – there are definitely things you need to know to make vibe coding work effectively. This isn't magic; it's a skill that requires understanding and practice.

A Little Context About Me

I'm writing this from the perspective of a junior web developer who's been self-learning React and Next.js for the past two years. I've built some simple web applications, but I wouldn't call myself experienced – everything I know is self-taught, and I don't have industry-level experience yet. I'm constantly seeking knowledge and trying to grow day by day, and sharing these experiences is part of that journey toward my goals.

Today, I want to focus specifically on vibe coding and what this month-long experiment taught me.

The Four Essential Pillars of Effective Vibe Coding

1. Know Your Code (And Why It Matters More Than You Think)

Here's the thing that caught me off guard: AI seriously doesn't write clean code by default. When I first started giving instructions, the AI would try to cram everything into one massive file – which is definitely not my style.

You might be thinking, "So what? As long as the code works and does the job, why should I care?" Well, here's why that mindset can hurt you:

Scalability Issues: Code that works fine for small traffic can completely break down as you scale. The way your code is structured matters enormously when your application grows.

Maintenance Nightmares: If you end up with a file containing 1,000+ lines of code, there's a high chance it might break your program and stop working the way it did before. Trust me, debugging a monolithic file is no fun.

AI Limitations: Here's something I discovered that most people don't talk about – when you want to tweak your code later using prompting, AI has to read through your entire codebase. Currently, AI can effectively read up to about 250 lines of code in one go. If your code exceeds this, the AI breaks it into chunks, which increases the chances of hallucination and consumes more tokens, making it harder for the AI to understand your code and implement changes accurately.

The Solution: If you know your code structure and patterns, you can guide the AI to write in your style. This makes the code readable not just for you, but for any human developer who might work on it later. It's about creating sustainable, maintainable code rather than just functional code.

2. Write Clear Rules (Your AI's Style Guide)

Building on the previous point about guiding AI to write in your style, this is where writing rules becomes crucial. I used Cursor for my vibe coding experiment, and it has this fantastic feature called "cursor rules" – you create a .cursor/rules folder, and the AI agents have access to these guidelines.

What to Include in Your Rules:

How you prefer to structure and organize code
Your approach to breaking code into modules (I love to export and import from separate files for reusability)
Specific instructions for different code types: Schemas, Models, APIs, Components, etc.

Pro Tips for Writing Rules:

Create separate files for different aspects (API rules, component rules, etc.)
Always include both good and bad examples – show the AI exactly how you want something written AND how you don't want it written
Be specific about your preferences for code organization and structure

The Reality Check: I'll be honest – I'm still figuring out exactly how agents access and implement these rules. Sometimes the AI seems to completely ignore them, and I have to literally ask, "Did you not read the rules?" Then it corrects course. I'm not sure if this is because my instructions aren't clear enough or if there's something else I'm missing. I've watched tutorials and followed best practices, but I know I need to get better at writing rules and giving proper instructions. I'll definitely update you as I improve in this area.

3. Master the Art of Prompting

This might be the most important skill of all, and here's why: good prompting can help even someone who doesn't know how to code create basic applications in no time.

The Wrong Way vs. The Right Way:

❌ Wrong: "Create a todo app"
✅ Right: "Create a todo app using React and Node.js where users can add tasks through a text input at the top. When they hit submit, tasks should appear in a list below. Users should be able to mark tasks as completed by clicking a checkbox. Include basic styling with Tailwind CSS."

The key principles I've learned:

Be Incredibly Specific: Include details about tech stack, user interactions, required parameters, UI layout, and functionality. The more specific you are, the better the output.

Break It Down: Don't dump everything into one massive prompt. Go step by step:

First, ask for the UI design
Then request models for the data fields
Next, ask for API endpoints to handle database interactions
Finally, connect everything together

Think Like a Product Manager: Describe not just what you want, but how users will interact with it, what edge cases to consider, and what the success criteria look like.

4. The Deeper Rabbit Hole (What I'm Still Learning)

Here's where I need to be completely transparent with you – there's a whole world of advanced vibe coding techniques that I've barely scratched the surface of in this past month.

Things like:

Creating comprehensive PRDs (Product Requirements Documents)
Breaking down PRDs into actionable development tasks
Using MCPs (Model Context Protocols) effectively
Advanced prompting strategies for scalable SaaS development

I haven't fully explored these areas yet, but I know they're crucial for building better, more scalable applications. As I work on my upcoming SaaS product (details coming soon!), I'll be diving deep into these concepts and sharing what I learn.

The Proof is in the Pudding

Want to see vibe coding in action? You're looking at it right now. This entire blog platform you're reading was built using vibe coding techniques. Take a look around, explore the interface, and let me know what you think of the execution.

(Quick note: I haven't built the comment section yet – there are so many ideas I have for the perfect commenting system, plus I'm juggling this with my SaaS project and day job. Life is busy! For now, you can reach me on LinkedIn and react to my posts there.)

Final Thoughts

After 30 days of intensive vibe coding, I can confidently say this: it's not about AI replacing developers – it's about developers who understand how to work effectively with AI replacing those who don't.

The key isn't to fear the technology or dismiss it outright. Instead, invest time in understanding how to guide it, structure your thinking, and communicate your intentions clearly. The developers who master these skills will have a significant advantage in the coming years.

This journey has taught me that vibe coding isn't just about generating code faster – it's about becoming a better communicator, a clearer thinker, and ultimately, a more effective developer.

What's your experience with AI-assisted development? I'd love to hear your thoughts and learn from your journey too.

Stay tuned for more insights as I continue building my SaaS product and diving deeper into advanced vibe coding techniques. Until then, keep coding and keep learning!