The World of No-Code and Its Potential

In a world where innovations in AI bring us more abstractions daily, building apps without writing a line of code is not far-fetched. If these innovations were more rampant three years ago, I would have been a vibe coder. More on this in the next two paragraphs.

My first encounter with the concept of abstraction was in 2021 while learning fundamental tech stuff via Coursera’s Google IT Support course.  My key takeaway from the concept is that things like the GUI (graphical user interface) made it easier for normal people without technical know-how to use the computer effectively. Imagine what life would be like if we had to log into our operating systems via a console. 

Key examples of these in reality are the differences in ease of use between hardcore and powerful tools versus user and beginner-friendly tools like OBS vs StreamYard, Vim vs VSCode, etc. 

What is Vibe Coding?

Vibe coding is the AI way of building apps without writing code. Anyone with the right set of prompts and knowledge of finding code errors can build an app using AI. The last sentence is very important.

The name is perhaps derived from the concept of coding first and refining later (Vibes and Insha Allah, in Nigeria-speak 😂😂😂 I’m joking). Refining on the go aligns with the popular agile framework of building in the tech industry, where the product doesn’t have to be perfect before launch. The users test the product in live environments and give feedback.

In vibe coding, though AI generates code using the structures and frameworks that humans have refined over the years, much of the brain work required for alignment with project goals is done by the human “developer.” This process is called architecting. The architect/vibe coder is responsible for ensuring the AI coding assistant stays on scope.

Vibe Coding Tools

While the concept of vibe coding is still relatively new, real people are making real money with no-code tools.

These tools, with their generative and automation capabilities, have democratised software building; examples include:

AI coding assistants for code generation, explanation and completion:

GitHub Copilot 

Replit Ghostwriter

AI-powered IDEs:

Cursor

WindSurf

Seamless code deployment from git repositories:

Lovable 

Netlify

Render

How it Works 

All the processes involved in app building still take place. The only difference is that AI is involved in most of them.

•Use AI to draft strategies and app architecture before building.

•GitHub for code, Netlify for deployment, Superbase for databases (all these have alternatives).

•Deploy in batches instead of in bulk to catch errors in time.

•Different AI models are used for different purposes depending on their strengths.

•Launch before you’re ready and perfect with user feedback.

Salaries and Opportunities in No-Code/Vibe Coding Career

I personally love to bring you this section of each career post.

Openings for vibe coding roles are still few and mostly come from startups. Salaries vary depending on expertise but are close to what traditional software engineers earn, from $62,000 to $150,000.

As the coding landscape evolves, vibe coders will probably earn more than traditional software engineers. The tech industry loves shiny new tools, especially when they make building faster.

On the freelance front, there’s plenty of potential for entrepreneurs who can use this skill to build and monetise apps. There’s no cap to the revenue they can generate, and the opportunities for growth and learning are endless.

Future Opportunities in Zero Coding Techniques

Microsoft announced a new AI coding agent feature at its 2025 Build developer conference. The coding agent is already integrated with GitHub’s Copilot and can perform complex tasks without human interference. From a vibe coder’s perspective, it’ll be like high-level peer programming.

In this cycle of tech conferences and product launches, more complex and robust AI features will be pushed to consumers in a bid to stretch AI’s capabilities and justify the billions being pumped into these projects.

What does this mean for entry-level tech professionals? More career opportunities unrestricted by skills! 

What does this mean for tech professionals? More tech to learn, obviously. This continuous learning is not a burden, but a necessary and exciting part of our commitment to professional development in the ever-evolving tech industry.

While these features and innovations make it easy to build and deploy, almost as if imagination is all required to thrive in tech, learning the fundamentals is still needed. It is impossible to detect an AI hallucination or errors if you don’t know what the process should look like. There’s a reason AI products are called agents/assistants.

Possible Problems No-Code Innovations Might Pose

While these AI features are not free to use for now, the promise that they will free up time for human developers to become more strategic and build the next big thing is bogus. 

The current pace of AI innovations will definitely morph traditional software engineering into a more sophisticated role requiring less grunt work and less strategy but more imagination, in addition to correcting many mistakes.

Of course, these innovations pose more problems for lawmakers regarding how they’ll be used and the ethics of their implementation. I am sure there’s a middle ground without stifling these applications. 

Conclusion 

AI innovations and, by extension, human capabilities are laudable. However, in a bid to run as fast as possible, much of the learning-to-walk process is being ignored.

We are looking at a possible future where so much is abstracted that the fundamentals are ignored.

We are definitely not going to be prepared for a doomsday future where people have to navigate with compasses or code in coding languages.