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A featured contribution from Leadership Perspectives: a curated forum reserved for leaders nominated by our subscribers and vetted by the Education Technology Insights Europe Advisory Board.

James Abela, Director of Digital Learning and Entrepreneurship


Vibe coding represents a shift in how young people approach coding. Rather than beginning with rigid syntax and abstract theory, it allows students to start with ideas, focus on problems to be solved, and engage in rapid experimentation. In a school setting, this really lowers the barrier to entry. Students who may have previously felt excluded from coding can now participate meaningfully, building tools, websites, and simple applications with the support of AI systems. This creates a more inclusive environment where creativity leads, and technical understanding develops alongside it.
Students are able to prototype quickly, test ideas, and iterate in ways that were previously limited to more experienced programmers. For example, one student developed an AR app that helped the non-profit Epic Homes visualize houses before they were actually made.
However, introducing vibe coding into classrooms is not without its challenges. One of the main opportunities is engagement. Students are more motivated when they can see immediate results from their ideas. They are also more willing to take risks and explore unfamiliar concepts. At the same time, a central concern is that students may not develop the computer science foundations needed to move beyond the initial vibe stage. Without deliberate teaching of concepts such as algorithms, data structures, and debugging, AI-assisted work can produce results without understanding, limiting students' ability to extend, optimize, or troubleshoot their own creations. It can feel like building a bridge halfway across a river, only to realize the remaining structure cannot be completed without stronger engineering underneath. The excitement is there, and the vision is clear, but without the foundations, progress stalls before students can fully reach the other side.
This creates a need for a thoughtful balance. Educators should frame vibe coding as a starting point rather than a replacement for foundational knowledge. For example, students might use AI to generate a prototype, then analyze, modify, and improve the code themselves. This encourages active learning rather than passive consumption. It also helps students develop critical thinking skills, particularly in evaluating the quality and reliability of AI-generated outputs.
Balancing creativity with strong technical foundations is essential. In mathematics and the sciences, we do not stop teaching fundamentals simply because calculators, spreadsheets, or simulations exist. We still teach number sense, algebra, scientific reasoning, and method because these give students the understanding needed to think independently and tackle more complex problems. Computer science has now had its own calculator moment. AI can help students produce something quickly, but schools still need to teach the underlying concepts, such as algorithms, data structures, decomposition, and debugging. Vibe coding should therefore sit alongside foundational computer science, not replace it, giving students both the freedom to create and the knowledge to go further when the tools reach their limits.
Looking ahead, AI-assisted development is likely to reshape both entrepreneurship and digital education. The ability to rapidly build and test ideas lowers the cost of innovation. Students can create functional prototypes for business ideas without requiring extensive technical expertise. This opens up entrepreneurship to a wider group of learners and encourages a mindset focused on experimentation and iteration.
At the same time, the role of educators will evolve. Rather than focusing solely on teaching coding syntax, there will be a greater emphasis on guiding students in how to think, question, and refine ideas. Skills such as problem framing, ethical awareness, and effective use of AI tools will become increasingly important.
For students and educators looking to embrace these approaches, the key is to remain intentional. Start small, experiment, and reflect on the process. Use AI tools to accelerate product building whilst taking time to understand the outcomes. For educators, that means creating an environment where experimentation is encouraged and where strong technical thinking continues to matter. Used thoughtfully, vibe coding can make technology creation more accessible, more engaging, and more relevant to the world they are preparing to enter.
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