For over a decade, app development has revolved around stitching together multiple moving parts - backend infra, frontend logic, state management, theming, 3rd-party APIs, and sometimes SDKs. Each piece improved incrementally. The backend moved from monoliths to serverless. Frontend frameworks got reactive. APIs became composable. Yet the overall dev experience remained fractured.
Even with mature SDK ecosystems and low-code tools, building core in-app features like chat or feed is still surprisingly complex.
SDKs do make things faster. They offer prebuilt components, handle networking, and abstract away a lot of infrastructure. But for most dev teams, the real challenge starts after setup. You’re managing:
In essence, you're writing glue code rather than features. You're solving for compatibility and not capability. This isn't a tooling problem anymore. It’s a workflow architecture problem.
And it’s exactly why the industry is quietly, but rapidly shifting.
How we describe features and workflows has finally caught up with how we build them.
The shift began not in app dev, but in AI-assisted software authoring - GitHub Copilot, Cursor, Replit, v0.dev. These platforms changed how developers interact with code. They didn’t eliminate code, they reduced the friction in writing it. More importantly, they transformed the entry point.
Instead of starting with npm install, you now start with the intent: “Make a sidebar with active page highlight and expandable sections.”
And what used to take 80 lines of boilerplate now lands in a single previewable PR.
App dev’s old primitive: Read → Integrate → Customize → Ship.
The new, AI-native primitive: Describe → Preview → Tweak → Deploy.
That’s the foundation of vibe coding, and it’s not optional anymore. It’s inevitable
This is the heart of WhatsApp and the secret behind its end-to-end encryption feasibility. They use the SQLite database, which stores the At its core, vibe coding is a prompt-driven app development where anyone can describe their desired functionality using natural language, and the underlying system handles the orchestration, scaffolding, and customization across stacks.
Think of it as an AI that’s fluent in:
When you say: “Add a swipeable user feed with comment threads, photo attachments, and support for likes/reactions in dark theme.”
The system:
This isn’t just scaffolding code. It’s generating production-ready PR that’s reviewable and end-to-end customizable.
We’ve spent the last few years building enterprise-grade SDKs for in-app chat and social feeds used across consumer, fintech, health, and education apps. But even the most powerful SDK still demands manual wiring: platform-specific theming, state management, debugging, testing, and more.
That’s changing.
We’re now reimagining SDK integration as a prompt-based experience. Here’s how it works:
You describe the feature. Example:
“Create a topic-based user feed where users can post, like, comment, and filter by categories. Use our brand colors and support dark mode.”
The AI builds and shows you a live preview that’s fully themed, interactive, and wired for your platform across Android, iOS, Flutter, and React Native. You can then customize the design yourself or ask the AI to make the changes.
Once done, you deploy via a shareable link or code snippet.
Vibe coding doesn’t replace developers, it liberates them. As the app ecosystem grows more fragmented, the old way of hand-rolling every UI behavior and state interaction won’t scale.
Vibe coding is the step-function leap forward. It combines reusable SDK logic, AI-native workflows, and intent-driven scaffolding into a system that builds the feature you meant to ship, not the one you settled for.
And we’re building it as we speak.
Deploy customised features on top of chat and feed in 15 minutes using LikeMinds SDK.
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For over a decade, app development has revolved around stitching together multiple moving parts - backend infra, frontend logic, state management, theming, 3rd-party APIs, and sometimes SDKs. Each piece improved incrementally. The backend moved from monoliths to serverless. Frontend frameworks got reactive. APIs became composable. Yet the overall dev experience remained fractured.
Even with mature SDK ecosystems and low-code tools, building core in-app features like chat or feed is still surprisingly complex.
SDKs do make things faster. They offer prebuilt components, handle networking, and abstract away a lot of infrastructure. But for most dev teams, the real challenge starts after setup. You’re managing:
In essence, you're writing glue code rather than features. You're solving for compatibility and not capability. This isn't a tooling problem anymore. It’s a workflow architecture problem.
And it’s exactly why the industry is quietly, but rapidly shifting.
How we describe features and workflows has finally caught up with how we build them.
The shift began not in app dev, but in AI-assisted software authoring - GitHub Copilot, Cursor, Replit, v0.dev. These platforms changed how developers interact with code. They didn’t eliminate code, they reduced the friction in writing it. More importantly, they transformed the entry point.
Instead of starting with npm install, you now start with the intent: “Make a sidebar with active page highlight and expandable sections.”
And what used to take 80 lines of boilerplate now lands in a single previewable PR.
App dev’s old primitive: Read → Integrate → Customize → Ship.
The new, AI-native primitive: Describe → Preview → Tweak → Deploy.
That’s the foundation of vibe coding, and it’s not optional anymore. It’s inevitable
This is the heart of WhatsApp and the secret behind its end-to-end encryption feasibility. They use the SQLite database, which stores the At its core, vibe coding is a prompt-driven app development where anyone can describe their desired functionality using natural language, and the underlying system handles the orchestration, scaffolding, and customization across stacks.
Think of it as an AI that’s fluent in:
When you say: “Add a swipeable user feed with comment threads, photo attachments, and support for likes/reactions in dark theme.”
The system:
This isn’t just scaffolding code. It’s generating production-ready PR that’s reviewable and end-to-end customizable.
We’ve spent the last few years building enterprise-grade SDKs for in-app chat and social feeds used across consumer, fintech, health, and education apps. But even the most powerful SDK still demands manual wiring: platform-specific theming, state management, debugging, testing, and more.
That’s changing.
We’re now reimagining SDK integration as a prompt-based experience. Here’s how it works:
You describe the feature. Example:
“Create a topic-based user feed where users can post, like, comment, and filter by categories. Use our brand colors and support dark mode.”
The AI builds and shows you a live preview that’s fully themed, interactive, and wired for your platform across Android, iOS, Flutter, and React Native. You can then customize the design yourself or ask the AI to make the changes.
Once done, you deploy via a shareable link or code snippet.
Vibe coding doesn’t replace developers, it liberates them. As the app ecosystem grows more fragmented, the old way of hand-rolling every UI behavior and state interaction won’t scale.
Vibe coding is the step-function leap forward. It combines reusable SDK logic, AI-native workflows, and intent-driven scaffolding into a system that builds the feature you meant to ship, not the one you settled for.
And we’re building it as we speak.
Deploy customised features on top of chat and feed in 15 minutes using LikeMinds SDK.
Let's start!