No Code Revolution: Erwan Kezzar Unveils the Future of Office Work

The no-code movement is revolutionizing digital creation, making it accessible to everyone. According to Erwan Kezzar, it represents a new cultural shift poised to alter our digital interactions and workflows.

Previously the domain of developers, the ability to build applications or automate processes is now available to anyone through no-code tools. These platforms empower every professional to become a digital architect. However, despite the simplicity suggested by user-friendly visual interfaces, mastering no-code requires a solid understanding and methodical learning, rather than mere magic.

Erwan Kezzar has been advocating this perspective for years via Contournement, an organization dedicated to training non-technical profiles in no-code. Kezzar views this trend not just as a passing fad or a collection of handy tools, nor as a threat to developers, but as an emerging digital culture that will fundamentally reshape our work habits. During an interview with BDM, he discussed the implications and applications of no-code technology.

Is No-Code a Threat to Developers?

At Contournement, we believe that no-code primarily enables individuals who lack programming skills to develop solutions tailored to their needs. These are often projects that wouldn’t have been feasible otherwise due to budget or skill constraints. While many envision no-code as a means to launch startups or apps, the reality is that it’s mostly used to enhance internal processes, automate tasks, and boost productivity. Small businesses and non-profits rarely hire agencies for these purposes because of the high costs involved. No-code makes these solutions more accessible.

However, no-code is indeed democratizing areas traditionally dominated by developers. Tools like Webflow, WeWeb, Bubble, Softr, and FlutterFlow are used to create sophisticated websites and powerful apps quickly and cost-effectively. But as projects scale, they often need to transition to more complex tools or traditional coding.

We believe coding will continue to thrive. The real threat isn’t no-code, but rather code generation through AI, especially for less robust developers. Additionally, many developers already incorporate no-code into their daily workflows for tasks like launching a landing page or automating processes with tools like Make or n8n, or managing databases on Airtable. They view it as another language, a visual one.

We prefer to describe it as “visual programming.” Even without writing code, you are programming, building, and instructing the machine. Many no-coders eventually start coding to overcome the limitations of no-code tools. From an educational standpoint, it’s an excellent introduction, helping learners quickly grasp programming fundamentals.

Distinguishing Between No-Code and Low-Code

No-code means “no coding required.” Low-code means “minimal coding.” The promise of no-code is that it’s designed for non-technical individuals who can achieve results without any prior knowledge or the need to write code. Within hours, people can create relational databases or set up automations. To advance further, more extensive training is needed. Low-code, on the other hand, targets more technical profiles. It involves connecting pre-developed components, which requires some coding knowledge.

No-code offers a powerful promise: even without technical skills, you can fulfill your specific needs. It’s almost a new form of office software. After just half a day on Airtable, you can start using it effectively, rather than resorting to Excel. Similarly, Notion structures information like the web. I’d rather people use Notion than Word. This dimension isn’t present in low-code solutions.

Can You Earn a Living from No-Code Today? What Does the Job Market Say?

You might be surprised, but we’re not among those claiming that “training in no-code and AI will lead to thousands of jobs.” Honestly, that remains to be seen. When you search for “no-code developer” on job sites, the results are not overwhelming. Such statements are often more about selling training, similar to the early hype around coding, which led to a saturated market of undertrained juniors.

In freelancing, some scrape by while others thrive, but competition is fierce, and the promises of earning €500 per day after a few weeks of training are unrealistic. Success requires skill, time, and project management and prospecting abilities. We often advise starting with a salaried position, though these opportunities are still rare. There are few permanent positions available for no-code experts or developers.

However, making a mark is still possible. Consider Quentin, a young man we hired: he dropped out of biology studies, trained intensively for a year, and undertook numerous freelance projects before becoming a trainer and then a full-time employee with us.

For us, the real issue isn’t just becoming a “no-code expert.” It’s about integrating no-code and generative AI as complementary skills. Whether you’re in HR, communications, or project management, you can add value by automating tasks and optimizing your work. We’ve even established the first official certifications recognized by the state to validate these skills, which can significantly enhance a resume. Some individuals have become managers or no-code referents in their companies.

How Do You Teach No-Code to Non-Technical Profiles?

Indeed, at Contournement, our focus is solely on pedagogy; we don’t do production or consulting, and we concentrate on tools accessible to non-technicals. For example, we prefer tools that allow users to create something within a few hours or days.

Our teaching method is primarily hands-on: 70% of our course time is dedicated to practical exercises. We believe strongly in project-based learning: you have a project, you practice. But we also support well-structured lectures. Many courses dive straight into data architecture, similar to old computer science courses. We prefer to give students an early win—after just two hours, they can set up a base, a view, a relation. Then, learning from mistakes becomes key: if you struggle to connect products, orders, and customers, you realize the purpose of junction tables.

Our approach starts with concrete examples before gradually introducing theoretical concepts like architecture, abstractions, and best practices. This way, the theory is much more relatable and sticks better. It’s important to learn theoretical aspects as they become relevant.

Debunking the Myths Around No-Code

No-code isn’t easy, magical, or telepathic; it’s accessible. But there’s a lot of opportunistic hype—claims that “you’ll get rich,” “you’ll launch your unicorn startup,” “if you’re not doing no-code, you’re missing out”—fueling many misconceptions. It’s challenging to dismantle these, but we’re committed to it.

There are three main reasons to train in no-code:

1. It prevents plateauing and the illusion of competence without realizing how much there is to learn.
2. It prevents doing things in the wrong order. Many companies struggle because they use many tools, but lack method.
3. It prevents learning in an incorrect way, as bad habits are hard to unlearn.

If you plunge into these tools without basic training, especially in security, you could face legal risks. Accidentally setting a customer database to public, for example, can lead to serious issues…

Changes in No-Code Usage and Expectations with the Advent of Generative AI

Yes, definitely. The perception of generative AI and no-code has shifted as they are often seen as part of the same democratizing trend. The thought is: “With generative AI, I can produce content, and with no-code, I can build applications.” However, coding with AI isn’t no-code; it’s what we call vibe coding.

What’s truly fascinating is the combination of automation with AI. Automation involves connecting tools so a task executes in a specific way. For example, receiving an email with a PDF attachment and automatically saving the attachment, with a notification sent to Slack. That’s automation without AI.

With AI, we take a big step forward. Imagine the content of the PDF being automatically processed by ChatGPT, with the response inserted into an Excel file. This process, previously manual, becomes automated. And with agent-based AI, you can even set more or less specific contexts and goals, and the AI will make decisions on its own. While less reliable, this is immensely powerful. Remarkably, these capabilities are becoming accessible to non-technical profiles, though it remains challenging.

There are now no-code tools that integrat

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Jordan Park

Jordan Park writes in-depth reviews and editorial opinion pieces for Touch Reviews. With a background in UI/UX design, Jordan offers a unique perspective on device usability and user experience across smartphones, tablets, and mobile software.