Euvic TalksEpisodesBuild an App in 2 Hours Without Coding | Michał Wilk | Euvic Talk

Build an App in 2 Hours Without Coding | Michał Wilk | Euvic Talk

Can you build an application simply by describing what it should do in natural language instead of writing code? Vibe coding is changing the way companies test ideas, build prototypes, and approach product discovery. In this episode of Euvic Talks, Bartosz Śliwa talks to Michał Wilk, AI Solutions Lead at Euvic, about what vibe coding is, where the trend came from, and how AI tools such as Lovable and Base44 can help businesses validate an app idea or build an MVP in just a few hours. They also discuss a real-life example of a feature that had been sitting in the backlog for a year and was built with AI in just 120 minutes.

But there is another side to AI-assisted software development. Vibe coding can significantly accelerate idea validation, prototyping, and collaboration between business and IT, but AI-generated code is not necessarily ready for production. Michał explains the risks related to security, GDPR, infrastructure, scalability, and technical debt — and why code that is ultimately thrown away can still be one of the most valuable outcomes of the discovery process.

In this episode, we discuss:

  • what vibe coding is and how it is changing software development,
  • how AI is transforming the role of developers and IT teams,
  • building MVPs and rapidly validating business ideas,
  • AI tools for building applications, including Lovable and Base44,
  • using vibe coding for product discovery,
  • a case study of a feature built in just 120 minutes,
  • improving communication between business and IT through AI-generated prototypes,
  • security, GDPR, infrastructure, and scalability,
  • the risk of technical debt when generating code with AI,
  • where a prototype ends and a production-ready solution begins.

Meet our guest

Michał Wilk

Michał Wilk

AI Solutions Lead


Euvic S.A.

Michał Wilk — AI Solutions Lead w Euvic, gdzie pomaga firmom przekuwać pomysły na AI w świadome decyzje i realne rozwiązania. Działa na styku intencji biznesowej i realizacji - pomaga organizacjom zdecydować, co faktycznie warto budować, i redukuje niepewność na wczesnym etapie: zamiast długich cykli dostawczych, waliduje pomysły i testuje założenia w oparciu o realne sygnały. Łączy praktyczne doświadczenie inżynierskie z projektowaniem rozwiązań i prowadzeniem zespołów, prowadząc inicjatywy AI i produktowe od koncepcji aż po wydanie.

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