TL;DR: We wanted a new look and feel for our Component Dashboard. So, instead of tons of PRs getting rejected, we let our UI Design and Product team build it for us with AI in an isolated Myop component. As devs, we made sure the props and architecture for data flow was pristine and just handed them the reins to build the component itself.
In the first part of this series, we discussed the gatekeeping dilemma for devs and how non-devs have access to code already. And we went through the better approach devs should take to democratize code but with good governance. So how do we actually implement that and what does it mean for you the developer?
In my previous blog post on this topic, I wrote in short about this. In short, constant UI change requests disrupt front-end developers' focus and slow overall progress.
When AI can generate beautiful interfaces in seconds, the real bottleneck stops being creativity and design. It becomes shipping. Pic-Time, a fast-moving SaaS product for photographers and visual storytellers, discovered this firsthand when they combined AI-generated UI with Myop's vibecoding approach and turned a "stuck forever" feature into a one-day front-end rebuild.
Here's a scene that plays out in engineering teams pretty often: A developer ships a feature Friday afternoon. It works. Core functionality is solid. No critical bugs. But the copy needs tweaking. The spacing is slightly off on mobile. One animation is 50ms slower than design spec.
So it doesn't ship. It goes back to the designer. Back to QA. Another week of tweaks.
This isn't quality control. It's perfectionism masquerading as standards. And it's costing you weeks of velocity every quarter.
In the fast-paced world of business, agility and adaptability are no longer optional, they’re essential. For years, the role of engineering leadership — whether as a CTO, VP of Engineering, or R&D head — has often been seen as a gatekeeper, tasked with managing scope, meeting deadlines, and maintaining stability by pushing back on requests. But with the right tools, engineering leaders can shift from gatekeepers to enablers, driving business growth and innovation.
Micro frontends aim to break up a large monolithic frontend application into smaller, independently deployable pieces. This allows teams to develop, test, and deploy individual parts of the UI separately, but it comes with its own set of challenges, particularly around integration and consistency.
In today's fast-paced digital world, user interfaces (UIs) are no longer static entities—they need to be dynamic, flexible, and adaptable to ever-changing requirements. Whether it’s a bug fix, feature update, or a complete redesign, developers face the challenge of making changes to UIs without breaking core functionality. What if there was a way to build UIs that could change in real-time, evolve post-launch, and optimize seamlessly, without ever reopening the core code?
As a co-founder and CTO at Myop.dev, I’m excited to share the journey we’ve been on to completely transform how UIs are built, managed, and evolved. At Myop, we’re focused on creating a platform that allows developers to dynamically update and manage their user interfaces in ways that weren’t possible before—without having to modify the core code.