There’s a moment—usually right after the first prompt—when AI app building feels like you’ve found a cheat code for software. You describe the app. It appears. Login, CRUD, a dashboard, maybe even some half-convincing business logic. And for demos, that’s genuinely impressive. But “it runs” is not the bar that production sets. Production wants boring things: auditability, upgrades, security posture, consistent behavior across platforms, and the ability to change the system wi

The AI Prototype Paradox The software industry is currently intoxicated by the magic of "prompt-to-app" tools. We are witnessing a phase where anyone can talk an idea into existence in seconds, a phenomenon that feels like a superpower. However, for the seasoned product strategist, this speed masks a profound architectural trap: the AI Prototype Paradox. The paradox is simple: the faster you generate an app using raw AI-generated code, the faster you create technical debt. Th

How AI becomes operational when it can work inside your real business systems The Big Idea A lot of "AI future" talk is converging on the same point: AI becomes genuinely powerful only when it can work inside your Systems of Record (SoR) —the apps where real business data and work live (CRM, support, billing, docs, messaging, etc.). Some people call the connective layer between these systems and AI "context graphs."  The label is new-ish, but the problem isn’t: critical conte

Over the past few years, we’ve witnessed an incredible acceleration in the AI landscape. One of the most promising frontiers is using AI to build applications—a process often dubbed Vibe Coding . The ability to translate natural language prompts into working software definitions or code is transformative. As we look at how AI is being used in application development, two main streams have emerged: AI Generates All the Code:  This path is powerful and we use it ourselves. Howe

For the past two years, the dominant narrative around AI and software development has been simple: large language models can now write code . Frontend components, backend services, database schemas — all generated from prompts. In practice, this approach has hit predictable limits. AI-generated code is often impressive in demos, but fragile in production. It can be hard to audit, difficult to evolve, and expensive to maintain. The deeper problem isn’t model capability — it’s

Every week, another headline promises that AI is about to write all our code, ship all our features, and make human developers optional. Depending on who you listen to, we’re anywhere from 3 months  to 100 years  away from AI doing “essentially all” software development. As someone who lives in the middle of this storm—building with AI every day, shipping production apps, and running an AI-powered no-code platform—I’m excited about what’s coming. I’m also… cautious. This is a

Introduction: The Rise of AI + No-Code AI has brought a new way to build software. Instead of starting from scratch with code, you can...

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AI is transforming software development. But as new tools flood the market promising to “build your app with a prompt,” it’s easy to miss...

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or is it Vibe Designing, Vibe Prototyping, Vibe Building or maybe just Vibing??? Introduction: The AI Takeover (In a Good Way) Once upon...

Ever felt like building an app but got overwhelmed by the whole coding thing? You're not alone! Many people have great ideas but don't...

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Ever feel like you're spending way too much time turning your awesome Figma designs into actual code? Yeah, we've all been there. But...

Ever tried to build a house without a blueprint? It'd be a mess! The same goes for designing apps or websites. Jumping into Figma without...

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Want to add some pizzazz to your designs? Figma animations are the answer! Figma is a popular design tool with powerful animation tools...