TL;DR

  • Flatlogic runs its annual research for the 5th year to learn how people actually build web apps in 2026.
  • Focus is on real-world AI usage: models, tools, workflows, and where AI helps or breaks.
  • Take an anonymous 3-minute survey; results will be published openly.
  • Participants receive 10 credits for Flatlogic and AppWizzy; prior results (2022–2025) are linked.

Fact Box

  • This is Flatlogic’s 5th annual research on how people build web applications.
  • The survey is anonymous and takes about 3 minutes to complete. Source
  • Every survey participant will receive 10 credits for Flatlogic and AppWizzy.
  • Flatlogic says it will publish all research results openly, as in previous years.
  • Previous research results are linked for 2022–2025. Source

For the 5th year in a row, we’re running our annual research on how people actually build web applications.

This year, the landscape has clearly shifted. AI is no longer experimental. Between coding agents, IDE assistants, and “vibe coding” platforms, the way apps are built is changing fast. But what’s still unclear is what people really use in practice, not in demos, not on X,  but in real workflows.

So we updated the research. We removed outdated questions, added new ones around AI-driven development, and focused on what matters now:

  • Which AI models and tools are actually used?
  • How do they fit into real development workflows?
  • Where do they help, and where do they still break?

Take part in an anonymous 3-minute survey!

Our goal is simple: understand how web apps are actually built today, across the full spectrum. From no-code and low-code tools, to AI app builders and coding agents, to traditional development. From solo founders to teams and agencies.

We’ll publish all results openly, as we’ve done every year.

As a thank-you, every participant will receive 10 credits for Flatlogic and AppWizzy.

If you’re building, experimenting, or planning your next app,  your input matters!

To take part in the survey, please click the link below:

https://forms.gle/v7FFXJ9frf9zNCDR8

The results of the previous research are below:

Thank you for your continued support!