I Tried Vibe Coding for 30 Days – Here’s What I’d Do Differently

• Vibe coding = building software by collaborating with AI (often chat-based coding agents) and iterating fast.
• It’s not “press a button, and an app appears.” You still need judgment, testing, security checks, and structure.
• Before I built anything, I read three vibe-coding books to separate hype from what actually matters.
• If you want to monetise (especially with AdSense), avoid thin content, tighten your SEO structure, and test on real devices.

Vibe coding is one of those terms that sounds like internet hype… until you try it.

At its core, it’s building software by collaborating with AI, usually through chat-based coding agents that can generate code, explain it, refactor it, and help you launch faster (sometimes much faster).

Instead of starting with a blank editor and a mountain of documentation, you start with intent. You tell the AI what you want to build, how it should feel, and what the user can do. Then you iterate with the AI until it works.

I didn’t want to jump in blindly, so before I built anything, I read a few books to get a proper foundation. And honestly, that’s what helped me separate the fun part (fast prototypes) from the part that actually matters (structure, testing, security, and building something that feels real).

Here’s what I learned, and what I wish someone had told me before I launched my first AI-built app.

The 3 vibecoding books I read before I started

A quick note – I’ve been grabbing books to read online from Z lib, which has a surprising range of topics. It’s been a handy way to explore new areas quickly without overthinking the cost upfront.

Here are three vibe-coding-focused titles worth checking out.

1. Vibe Coding: Building Production-Grade Software With GenAI, Chat Agents, and Beyond

This free-to-read online book is for the moment when you realise: Okay, I can prototype… but how do I make this real?

What it’s useful for:

• Moving from quick demos to production-grade thinking
• Working with chat agents in a structured way
• Avoiding common pitfalls (fragile code, unclear architecture, endless rewrites)

2) Beyond Vibe Coding: From Coder to AI-Era Developer

This title is basically a reality check, in a good way. It frames vibe coding as part of a bigger shift. The developer role is changing.

Prototypes are easy. Production is where the discipline starts. The real skill in vibe coding is getting the AI to help you build structure, not just speed.

What it’s useful for:

• Thinking like an AI-era builder (systems, prompts, testing, product sense)
• Understanding what skills still matter (and which matter more now)
• Building workflows where AI helps, but you stay in control

3) Vibe Coding: The Future of Programming (First / Early Release)

Early-release books can be rough around the edges, but they’re often the best way to get a view of where things are going.

What it’s useful for:

• Big-picture trends: where programming is heading
• How agents might change teams, products, and speed of execution
• The cultural shift: from coding to directing

Why I got into vibe coding

For me, vibe coding has been a game-changer.

I’ve always had app ideas I assumed would stay in the nice dream category, because learning every framework, setting up environments, and debugging for days just wasn’t realistic alongside running everything else.

Vibe coding changed that. Suddenly, I can go from a rough idea to a working prototype in hours, not weeks, and keep improving it without needing to be a full-time developer.

What vibe coding actually looks like

Vibe coding isn’t pressing a button, and an app appears.

It’s more like:

• You describe what you want (the outcome, not the implementation)
• The AI proposes an approach and generates code
• You test, break things, and give feedback
• The AI fixes issues, improves structure, and helps you launch

The vibe part is real. You spend more time shaping the product experience (flows, copy, UI, edge cases) rather than wrestling with code.

Pros of vibe coding

• Faster from idea to prototype: You can validate concepts quickly.
• Lower barrier to building: Non-traditional builders can finally create real products.
• Great for learning: When you ask why something works, you get explanations instantly.
• Momentum stays high: Less context switching, less getting stuck on setup.
• Iteration becomes addictive (in a good way): You can improve small pieces continuously.

Cons (and the honest trade-offs)

• You still need judgment: AI can generate confident nonsense. You must test and verify.
• Debugging can get weird: Sometimes you need to slow down and inspect fundamentals.
• Security and privacy risks: You have to be careful with secrets, user data, and dependencies.
• Code quality varies: Without guardrails, projects can become messy fast.
• Over-reliance is real: If you never learn the basics, you may struggle when the AI hits a wall.

The best mindset I’ve found is AI is a powerful collaborator, not a replacement for thinking.

Big players in vibe coding

This space is moving fast, but a few names keep coming up:

• Lovable (the one I use): great for building quickly with an AI-first workflow. If you want to try it, here’s my invite link.
• Replit: strong for instant environments and fast iteration.
• Cursor: an AI-native coding editor that’s become a favourite for many developers.
• GitHub Copilot: one of the biggest mainstream AI coding assistants.
• OpenAI / Anthropic models: the underlying engines powering many agent experiences.

Different tools fit different styles. Some are best for ‘build the whole app with me,’ others are best for ‘help me code faster inside my editor.’

The insider stuff I wish someone told me (before I launched)

This is where vibe coding stops being fun and starts being real product building.

The AI can help you generate a lot, fast, but if you want an app that feels legit (and can actually be monetised), you need a few non-negotiables.

1. If you want AdSense, avoid thin content

If you’re planning to monetise with Google AdSense, watch out for thin content.

A lot of AI-built apps accidentally end up feeling like:

• A template
• A list of pages with not much substance
• A tool that doesn’t really give the user anything meaningful

The fix is simple but takes intention. Inject your realness.

• Add your point of view
• Add examples from your own experience
• Add helpful explanations, not just outputs
• Add sections in your own voice
• Add privacy and terms and conditions pages, add a sitemap

In other words, don’t let your app feel like it was assembled in 5 minutes. Make it feel like it was made, intentionally.

2. Ask the coding agent to audit your SEO structure before launch

Before you put anything out there, ask your coding app/agent to go over the SEO structure and make suggestions.

Things to check (and improve):

• Page titles and meta descriptions
• Headings (H1/H2/H3) structure
• Internal linking (does your menu and navigation help Google understand the site?)
• Indexing basics (no accidental noindex pages)
• Performance (slow pages quietly kill your growth)

Then – and this is the part most people skip – invest time and credits into making it solid. Vibe coding makes it easy to launch quickly, but SEO rewards the apps that feel complete.

3. Security isn’t optional

Even small apps can create big problems if you ignore security.

At minimum:

• Don’t expose API keys or secrets
• Validate user inputs
• Use secure authentication patterns if you have accounts
• Keep dependencies updated
• Implement data backups

If you’re not sure what to check, ask the AI directly:
“Do a security review of this app. List risks in priority order and tell me how to fix them.”

4. Test on real devices (and actually use your own app)

This sounds obvious, but it’s one of the biggest gaps in AI-built products: people launch without living inside the thing.

• Test on a few real phones (not just your laptop)
• Click every menu item
• Try to break it
• Use it like a customer/user would

I call it, shopping your app.

If it’s a reading app, read your app. If it’s a tool, do the workflow end-to-end.

You’ll catch:

• Weird spacing
• Broken buttons
• Confusing navigation
• Slow loading
• Edge cases the AI didn’t anticipate

5. Start small. Go all in on one feature

Vibe coding makes it tempting to build a whole platform in a weekend. Don’t.

The best approach I’ve found:

• Pick one core feature
• Build it end-to-end
• Test it (properly)
• Share it for feedback (preferably with your target audience. I did this for my latest recipe website, and this process worked well!)
• Integrate suggestions from the target audience
• Then bolt on the next feature

This keeps your app clean, your menu simple, and your users clear on what the app is for.

6. Menu structure matters more than you think

A messy menu is the fastest way to make a good app feel amateur.

Before you add pages, think:

• What are the 3 to 5 main things a user will do?
• What should be one tap away?
• What can be tucked into settings or secondary pages?

A simple, intentional menu also helps SEO and discoverability because it makes your information architecture clearer.

My simple vibe-coding workflow (that actually works)

If you’re curious and want a practical starting point, here’s a workflow that’s helped me:

1. Start with a one-paragraph product brief
   What it does, who it’s for, and what success looks like.
2. Ask the AI for a plan + tech stack recommendation
   Keep it simple.
3. Build the smallest version first
   One core feature, end-to-end.
4. Add guardrails
   Testing, error handling, and basic security checks.
5. Iterate based on real use
   Your own usage counts as real use.

Final thought

Vibe coding is empowering because it turns “I wish I could build that” into “let’s build it.”

It doesn’t remove the need for thinking, but it does remove a lot of the friction that used to stop people from ever starting.

If you’ve been sitting on app ideas for years, this is your sign to experiment. Read a bit, build a bit, and let the momentum do the rest.