5 posts tagged with "Myop"

Client-side frontend code should not be the exclusive domain of frontend developers because modern tooling, AI, and other platforms make it possible for designers, product, and marketing teams to safely own, iterate, and ship UI without touching backend logic or risking core stability. Frontend engineers can then specialize in the architecture, contracts, and business logic that matter most, while non-dev stakeholders directly shape the experience layer where they have the deepest expertise.

Shipping UI changes across multiple environments sounds straightforward until a product and team start to scale. Suddenly there is production, staging, QA, demo, internal dogfood, sometimes region-specific environments, and each needs slightly different UI states at different times.

A new onboarding flow might belong in staging, a stable checkout in production, and an experimental header only in a demo or beta environment. Without a solid approach, teams end up with a tangle of environment-specific hacks, confusing configurations, and a constant fear of shipping the wrong UI to the wrong users.

Q4 2025. A designer asked a question that crystallized everything we'd been building toward: "Why do I need a developer to deploy the component I just generated with AI?"

She had used Claude to generate a promotional banner. The HTML, CSS, and JavaScript were ready. It looked exactly right. But getting it from her screen to production still required a developer to review it, integrate it, test it, and deploy it. "The AI wrote the code in five minutes," she said. "Why does deployment take five days?"

That question launched Myop Version 2.0.

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?