Why should we use Mendix in 2026

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I want to clarify that I am not trying to be rude; I have been a dedicated Mendix user for 3 years.However, I feel a bit lost regarding Mendix's current advantages. When I first adopted Mendix, I saw it as a rapid tool for building small-scale software to complement our ERP or MES systems. But now, with the rise of powerful AI harnesses, Mendix is rarely my first choice anymore.I understand that Mendix requires manual development, which ensures that developers fully grasp the logic. This theoretically reduces chaos in large-scale systems like ERPs or MES. However, building such systems is inherently risky and massive. Even if Mendix is technically capable of handling large systems, most factories would hesitate to build such critical systems from scratch using Mendix.My question is: Will Mendix become as efficient as AI harnesses in the near future, while maintaining its core strengths in security and robustness?​ Or, in what specific manufacturing scenarios can Mendix alone truly outperform other software solutions?
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You are right and that is not rude (atleast imo) however my take on this: mendix doesnt have to beat the AI harnesses, mendix's earlier advantages like "trust, governance, and integration in complex enterprise environments" will still hold good even if there are a lot of AI assisted development tools (within mendix or outside) In the AI era where more and more slop is getting thrown out by upcoming devs and for many years to come, folks like us(me and you) are the ones will be at the forefront to be "consulting/reviewing/ai slop mess correction" lot. As for the tool/platform itself, development lifecyle needed acceleration/optimization from day1 with or without AI and absolutely with security, perfromance, best practices being a necessity than after thought

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Great question, Ethan, and not rude at all. It's the right thing to be asking in 2026.

My take is that GenAI actually makes Mendix more relevant, not less. Here's why.

With an AI harness you can vibe code millions of lines in an afternoon. The problem is that you can't fully trust those lines. Buried in there are packages you don't own, vulnerabilities, wrong assumptions, subtle miscalculations. And you typically find out months later, once it's in production and someone's shift is running on it.

There's a better path, and it's already here. Tools like Concord, Maia and mxcli let GenAI drive Studio Pro for you. You get the same speed and the same conversational way of building, but GenAI isn't writing code. It's assembling your app from safe, maintainable platform components. The output is a Mendix model: microflows, workflows, domain model, security rules. All of it visual, all of it reviewable. You can look at it and know it's sound, instead of hoping a code review catches what an LLM invented.

If you want to see what that looks like in practice, I recorded a walkthrough a while back where I build an app exactly this way: https://youtu.be/Ozn4lNdY8Wk. The tooling has already moved on since then (it evolves fast), but the approach and the reasoning behind it still hold.

And underneath it all sits a platform that is patched, governed, integrated and maintained for you. That's the same reason most of us picked Mendix in the first place. AI didn't remove that reason, it made it matter more.

So to your question: I don't think Mendix has to beat the harnesses on raw output. It becomes the place where AI generated speed meets something you can actually trust in Enterprise. That combination is hard to find anywhere else Today.

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