MRI TECH @MRITECHIO - Twitter Profile

MRI TECH @MRITECHIO

about 1 month ago

@viktoroddy Yooo 🤣🤣🤣

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MRI TECH @MRITECHIO

about 1 month ago

@Praha37v Put an option for downloading the code. Other things are perfect.

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MRI TECH @MRITECHIO

2 months ago

Healthcare mobile apps design

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MRI TECH @MRITECHIO

3 months ago

@HappyOysterAI Boom 🤯 Love it man

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MRI TECH @MRITECHIO

3 months ago

@viktoroddy I learned a lot from your video man.

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MRI TECH @MRITECHIO

3 months ago

Scroll-Driven 3D laundry website design #3dwebsite #3Dlandingpage #landingpage

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MRI TECH @MRITECHIO

3 months ago

A video for making scroll-driven hero intro animation

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MRI TECH @MRITECHIO

3 months ago

How AI is Changing the UI/UX Design Workflow in 2026 Two years ago, "AI in design" meant auto color palettes and a magic background-remove button. In 2026, AI is embedded in almost every stage of the design process — research, layout, code handoff, everything. Here's what actually changed (and what didn't 1. Research got faster, not smarter AI can summarize interviews, cluster feedback, generate personas in minutes. But it can't replace judgment. Same data, two products, two very different right answers — depending on business goals and constraints. AI compresses the grunt work. It doesn't make the call for you. 2. Wireframes are now a starting point, not a final draft Figma AI and similar tools can spit out a decent layout from a prompt. Great for early exploration. The catch: AI-generated layouts converge on the same patterns, trained on the same libraries everyone uses. Lean on AI output entirely, and your product starts looking like every other product. Differentiation still comes from a human making deliberate calls on hierarchy, spacing, brand voice. 3. Design-to-code handoff is genuinely transformed This is the biggest real shift. Turning a Figma file into working React/Flutter used to be slow and error-prone. AI-assisted workflows now handle a big chunk of that translation — shrinking the gap between "designed" and "shipped." 4. AI-native interfaces need new design thinking Chat interfaces, agents, generative tools — they bring UX problems that didn't exist 5 years ago: → How do you show uncertainty? → How do you let users correct an AI's mistake? → How do you design for outputs that differ every time? This is a real, distinct skill inside UI/UX now. The takeaway: AI made the mechanical parts faster — research synthesis, first drafts, code handoff. It didn't change the strategic parts — understanding users, matching the interface to your business model, building something that doesn't look like a template. The best setups in 2026 pair AI tooling with a designer who uses it as leverage, not a replacement for thinking. Building or refreshing a SaaS product? I help teams go from idea → production-ready UI/UX, combining AI workflows with hands-on design + dev. DMs open.

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