Not sure where to start?Book a strategy call

Featured
Workbuddie AI CRM

One workspace where enquiries, follow-ups and jobs stay in sync.

How we work
From audit to launch in weeks

A short discovery, a clear scope, then shipped in sprints.

Looking for work in your industry?See industries

Latest project
Automating a 300-job pipeline

How one service team cut manual admin by 90%.

Want these in your inbox?Join the newsletter

Latest read
How GEO is changing local search for Malaysian SMEs

Why process mapping beats buying another tool.

Using Vibe Coding to Build App : Fast to Build, Hard to Maintain

We’ve been noticing a clear keyword trend in Google search lately. Keywords like Lovable.dev, Cursor AI, Bolt.new, AI Coding and Vibe Coding are appearing more frequently, alongside very specific problem searches like “Glide app getting slower”, “Vibe coding maintenance trap”, and “Hire Ai coder expert Malaysia.” These searches aren’t random. They reflect a growing belief that vibe coding can replace what custom development agencies used to do, because it looks fast, affordable, and simple enough for anyone to build.

And at the start, it really does feel that way.

Why Vibe Coding Feels Like It Can Replace Agencies

Vibe coding tools are designed to create momentum. You describe what you want, and you get something that looks functional quickly. A lead tracker, an internal approval flow, a staff request form, a booking system, a dashboard. The first version often works well enough to get your team excited and moving, which is exactly why these tools are spreading so fast.

If you’re a founder or a team trying to move quickly, it’s easy to think, “If AI can build this now, why do we still need agencies?”

The reality is, the first version is only the beginning.

The Hidden Phase Nobody Talks About: Maintenance

Once your tool becomes important, the work changes. It stops being “building” and starts being “owning.”

This is where the vibe coding maintenance trap hits hardest, especially for non developers. The first version may run, but when something breaks or needs an upgrade, most business users have no idea what’s happening behind the scenes because they don’t understand the code. Vibe coded apps often grow through quick patches and prompt based fixes, which means the logic can become messy over time. One small change can unexpectedly break another screen. A “simple fix” can create a brand new problem somewhere else. After a while, the system starts to feel fragile, and the team becomes afraid to touch it because nobody is confident what will collapse next.

That’s usually when people realise the truth: vibe coding didn’t remove the need for technical expertise, it just delayed it. The real cost shows up in hours lost to troubleshooting, re prompting, testing, and repeating the same cycle. And in the end, most teams still need an experienced developer or agency to step in, clean it up, and make it stable enough to run long term.

When “Glide App Getting Slower” Becomes a Daily Complaint

Performance issues usually arrive quietly. A Glide build can feel smooth at the beginning, especially with a small dataset and a small team. But as the record count grows, more workflows get added, and more users join, the app starts to lag. Load times increase. Filtering feels sluggish. Syncing becomes inconsistent. People begin searching for “Glide app getting slower” because the tool that once felt effortless now feels like it’s dragging the team down.

This isn’t about Glide being “bad.” It’s about how many tools built for speed start to struggle when the business grows and the app becomes operationally critical.

Why “Hire AI Expert Malaysia” Suddenly Makes Sense

The moment you outgrow the quick build, you start looking for a stronger foundation. That’s where Supabase integration shows up, and why people specifically search for “Vibe coder Malaysia” , “Ai coder” etc.

Supabase is powerful, but integrating it properly isn’t just switching databases. It changes how data is structured, how security rules are designed, how performance is optimized, and how your system stays maintainable over time. Done properly, it transforms a prototype into something scalable. Done poorly, it becomes another complex layer on top of an already fragile build.

This is the point where vibe coding usually stops feeling like a shortcut and starts feeling like a technical project.

Our Client Real Case Study : Everything Broke Overnight

We’ve seen this happen in a very real way with one client who tried to use a vibe coding app to build their internal system because they believed it was a cheaper substitute for “expensive software” and could even replace an agency build. At the beginning, they were genuinely happy: the first version worked, the screens looked usable, and the team felt proud that they shipped something quickly. 

The problems started when the business asked for a few unique workflows that didn’t fit the standard template, so the person managing the tool attempted to customise it through prompts and quick edits. That’s when things began to break. A small change triggered unexpected failures across other parts of the system, and because nobody on the team understood the underlying code, no one could confidently fix it. 

Management then pushed accountability onto one person to “take ownership,” but ownership without technical control turned into a nightmare. The database structure became inconsistent, records started behaving strangely, and eventually key flows stopped working altogether, causing severe operational impact. They tried paying for ongoing maintenance support, but it was mostly patching symptoms without solving the root cause, so the tool remained unstable and the costs kept rising. 

In the end, they came to Flow Digital. We had to restructure the foundation, rebuild the logic into clean modules, and restore a stable data model. Even then, because parts of the previous system were too damaged or too risky to automate immediately, some processes still needed to be handled manually while we phased the rebuild properly.

The Practical Truth: AI Coding Is Powerful, But It’s Not a Foundation

AI coding is not the enemy. Tools like Lovable.dev, Cursor AI, and Bolt.new are genuinely useful for prototyping and accelerating early builds. The mistake is assuming speed equals readiness.

A prototype is something you can demo.

A system is something you can run for years.

The difference is structure, security, scalability, and maintainability, which are rarely solved by prompting alone.

Build Fast, But Build for the Future With Flow Digital

At Flow Digital, we use AI in a practical way. We don’t reject vibe coding. We also don’t rely on AI generated structure as the foundation. We use partial AI to accelerate development and reduce repetitive work, while still building with scalable architecture, clean modules, proper database design, role permissions, and integration ready workflows.

If you’re exploring vibe coding, enjoy the speed. But if you’re already feeling the maintenance trap, the slowdown, or the integration pain, it’s a sign your tool has grown up into something more serious.

And if you want to build a custom solution that lasts, while still keeping the speed advantage of AI coding, you can find Flow Digital.

Frequently Asked Questions (FAQ)

01. What is the difference between vibe coding and traditional software development?

Vibe coding emphasises the rapid generation of applications through AI prompts, whereas traditional software development involves a structured architecture, thorough testing, and long-term planning. Vibe coding is ideal for prototypes, but traditional development ensures systems are scalable, secure, and maintainable over time.

AI coding tools are excellent for prototyping and accelerating early development, but they rarely replace professional software engineering. Agencies focus on scalable architecture, security, database design, and maintainability, which are essential for systems that need to run reliably for years.

Relying only on AI-generated code can lead to inconsistent logic, security vulnerabilities, and systems that are difficult to maintain. Without proper architecture and documentation, small updates may break other parts of the system, making long-term maintenance complicated.

AI coding will likely become a major part of future software development because it significantly speeds up the development process. However, successful systems will still require strong software architecture, engineering expertise, and proper system design to remain reliable long term.

Table of Contents

WORK WITH FLOW

Let's Work Together

WORK
WITH FLOW

Let's Work Together

Ready to turn

Strategy

into

Result?

Read More

Get In Touch

Get In Touch

Get A Quote For Your Project

We aim to get back to all the inquiries within a couple of working hours!