Device. App. Interface. AI is rewriting them all.

With all the articles lately about agentic AI, SaaS dying, and the work being done to improve UX design, I found myself asking a question: do I even need to learn how to use a UI anymore?

Think about it. So much energy has gone into making software easier to navigate. Better onboarding, cleaner dashboards, more intuitive flows. And I've been part of that, paying attention to interfaces, learning new tools, figuring out how each one works. It felt like a necessary skill.

But if AI agents can just... do the thing, does any of that matter? Can I tell software what I want in plain English and have it figure out the rest?

I've been having more conversations with tech founders and product leaders lately, and this reflection keeps coming up. Nobody wants to say it directly, but the question is there: are we building better UIs for a world that's already moving past them?

Then I came across OpenAI's acquisition of Sky. Sky is an AI-powered natural language interface for Mac, designed to work alongside you throughout your day, as you write, plan, code, and use your apps. It can see what's on your screen and take action for you. The founders vision: "We've always wanted computers to be more empowering, customizable, and intuitive. With LLMs, we can finally put the pieces together." OpenAI buying this is a signal. The next frontier they're competing on isn't just which model is smarter, it's how you talk to the model.

And then there's Wispr Flow. Ayesha introduced me to it and I just started using it to give voice instructions to AI across my computer, not just inside one app, but everywhere. Once you try it, going back to typing feels like unnecessary friction. You just speak what you want. It's cutting down the resistance between thought and action in a way that feels genuinely different. And to be able to find one that can understand my accent so well has been a lifesaver (Hey Siri…yes that’s a cue to you)

Here's what strikes me most: this might be the moment my parents can finally use software without having to worry about how to find the right button. Not because the UI got simpler. Because the UI stopped being the point.

The next innovation horizon isn't a better interface. It's making the interface disappear. What do you think?

-Janani

Pre-registration: Open now

Formal registration opens: April 2026

Competition: June 2026 | Virtual, Worldwide

What: A fully virtual international hackathon where high school students design, build, and present real-world AI solutions that address meaningful challenges in education, health, sustainability, and social impact. Organized by the United States Artificial Intelligence Institute (USAII®), this is one of the few competitions focused entirely on building with AI.

Who: High school students in grades 9–12 worldwide. Students can compete individually or in teams of up to five members from different schools or countries. No prior AI or hackathon experience required.

Format: Teams design and build an AI-powered solution to a real-world challenge, supported by mentors, optional virtual office hours, and curated learning resources throughout. Projects are evaluated on creativity, clarity of problem-solving, responsible use of AI, and teamwork, not technical perfection. A readiness qualifier runs before the hackathon begins (it's not a technical exam — it's about readiness and clarity of challenge).

Prizes:

What Makes It Special: Pre-registering now gets you priority access to official registration alerts and resources before the April launch. Any AI tool is permitted including free-tier tools making this genuinely accessible for students at any skill level.

Perfect for: Students who want to build something real with AI, compete on an international stage, and walk away with a project they're proud of, regardless of where they're starting from.

Every year, the world's biggest mobile tech conference — Mobile World Congress (MWC) — in Barcelona gives us a preview of where technology is headed. This year, the theme was impossible to miss: AI isn't a feature anymore. It's the foundation.

The most interesting announcements weren't just about smarter phones. Timekettle debuted AI earbuds that translate 40 languages in real time, capturing voice through bone conduction so background noise doesn't get in the way.

TCL launched smartphones with a dedicated "eye comfort" mode powered by AI tools, a direct response to how much time students and workers spend staring at screens. And HONOR previewed a conceptual "Robot Phone," framing the next generation of devices not as communication tools, but as embodied intelligence.

But the bigger story is in the infrastructure. Major telecom companies are no longer just providing connectivity, they're repositioning themselves as AI infrastructure providers, building out massive AI data centers and autonomous network systems. SK Telecom announced plans for hyperscale AI data center capacity across Korea. Multiple companies announced AI agents that can detect and fix network problems automatically, without any human in the loop. The message from MWC 2026: the competitive advantage is no longer who has the best model. It's who can orchestrate AI at scale, reliably, across every layer of the stack.

For students, the takeaway is direct. Every device, every network, every app being built right now is being rebuilt around AI. It is table stakes to understand how these systems work, how to build with them to position yourself at the center of the most significant technology shift in decades.

Read the full MWC 2026 coverage →

This is the kind of story we love sharing, because it proves something we need to hear: you don't have to wait until you're older to build something valuable.

Cal AI is an AI calorie-counting app built by two high school teenagers that soared to over 15 million downloads and over $30 million in annual revenue in under two years. The concept was simple: take a photo of your food, and AI estimates the calories instantly. No complicated inputs, no database lookup, just point, shoot, and know.

MyFitnessPal, one of the most established names in health and fitness apps, has now acquired Cal AI. The co-founder and CEO, Zach Yadegari, along with his team of seven employees, have been retained post-acquisition. Since the deal closed, Cal AI users have already gained access to MyFitnessPal's nutrition database spanning 20 million foods, 68,500 brands, and meals served at over 380 restaurant chains.

What's remarkable isn't just the acquisition, it's how seriously the young founders took their work. Because the founders were still in school, Yadegari worked all weekend on his startup, and his team held a weekly stand-up every Sunday night. MyFitnessPal's CEO said that when he first met Yadegari, he walked away thinking: "This is someone who's not doing this as a hobby. They're really serious about it."

Yadegari also went viral after revealing that out of 18 top colleges he applied to - even with a 4.0 GPA and a successful company - he was rejected by 15. He's now running the app as a unit of MyFitnessPal while attending college. The rejections didn't define him. The thing he built did.

For every student who wonders whether what they're building actually matters, this is your answer.

Read the full story on TechCrunch →

Every app your students use — Instagram, Spotify, Google Docs — has something invisible powering it: a database. It's where all the data lives, gets organized, and gets protected. At Flintolabs, we don't just teach students to build the front end. We teach them to build the whole thing.

This week's lesson focused on Supabase, one of the most powerful and beginner-accessible database tools used by professional developers today. Students learned how to define their database tables — essentially deciding what information their app needs to store, how it's structured, and how different pieces of data relate to each other. Designing a table might sound simple, but it forces students to think clearly about their entire app: what does a user look like in the system? What does a "post" or a "product" need to store?

But we didn't stop at building. We went deep on something most courses skip entirely: security. Students explored what happens when database rules are misconfigured — how something as small as an incorrect permission setting can expose user data. They learned the difference between public and private data access, how to use Supabase's Row Level Security (RLS) features to protect data, and why handling credentials properly is non-negotiable in professional development.

The real-world lesson: AI can help you write code fast, but it can't think about security for you. The students who understand why certain configurations matter aren't just better builders, they're the ones who can be trusted with real products.

This skill doesn't just prepare students for internships. It prepares them to build apps people can actually rely on.

Watch student projects from Flintolabs →

Our March cohort is filling fast. If you've been thinking about enrolling, this is the moment.

Here's what you get with just one hour per week for 6 months:

✅ Hands-on AI skills through building real applications, not watching lectures

✅ 3 transferable college credits from University of Colorado Denver

✅ Portfolio of real work that demonstrates capability to colleges and employers

✅ Small class sizes (capped at 20 students) ensuring personalized attention

✅ Advanced concepts like OpenCV, Minimax algorithms, computer vision, and more

✅ The critical thinking and problem-solving skills employers desperately need

While college grads struggle with workplace readiness and entry-level jobs disappear to automation, Flintolabs students are building portfolios of real work that demonstrate genuine capability.

Classes start Saturday, March 7!

Enroll now →

Follow our LinkedIn page for free Q&A sessions where you can ask anything about our program, how you can earn credits, typical lessons students learn and really anything you have in mind before enrolling!

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