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MOST ASKED QUESTIONS
How many prototypes did you build before building the final model?
About 3, at least. But that's actually not a bad thing. Every time I failed, I learned from my mistakes, and when I finally built my final model, I learned exactly which AI tools to use and which to avoid.
There are many misconceptions about making multiple prototypes.
What are the misconceptions about building multiple prototypes?
1. "It means you don't know what you're doing."
Reality: Iteration is how professionals work. Multiple prototypes = testing assumptions and learning
2. "It's wasted time/effort."
Reality: Each prototype teaches you what works and what doesn't. Skipping prototypes often leads to building the wrong thing
3. "You should get it right the first time."
Reality: First versions are rarely the best versions. Even major products went through dozens of iterations
4. "Multiple prototypes mean the project is failing."
Reality: It means you're validating ideas before committing to expensive final development
"If you're not embarrassed by the first version of your product, you've launched too late." — Reid Hoffman
What was the biggest challenge faced in making an app with no plan
Well.. It was definitely trying to find an audience
Remote work doesn’t mean working all the time. Boundaries are key to making it sustainable.
SIDE QUESTION
What language should you learn in beginning to code?
I’ve always been a fast learner, which is probably why I struggle with organization—I jump into things before planning them out. That's exactly what made picking my first programming language so hard.
Now, it’s just a regular Tuesday.
Here's how you can skip the difficulty and jump straight to the fun part
Best Programming Languages to Learn in 2026 (And Why)
Choosing your first programming language can feel overwhelming. With hundreds of languages out there, where do you even start? The truth is, the "best" language depends on what you want to build. Here's a breakdown of the top languages to learn in 2026, what they're used for, and why they matter.
Python – The Swiss Army Knife
Best for: Beginners, data science, AI/ML, automation, backend development
Python is the most beginner-friendly language out there. Its syntax reads almost like English, making it perfect for learning programming concepts without getting bogged down in complex syntax. But don't let its simplicity fool you—Python powers everything from Instagram's backend to cutting-edge AI research at OpenAI.
Why learn it: Massive job market (especially in AI/ML), incredible libraries for almost everything, and you can build real projects quickly. If you're interested in data science, machine learning, or automation, Python is non-negotiable.
JavaScript – The Web's Language
Best for: Web development, full-stack apps, mobile apps, interactive websites
If you want to build anything for the web, you need JavaScript. It's the only language that runs natively in web browsers, making it essential for frontend development. With Node.js, you can also use it for backend development, making JavaScript a true full-stack language.
Why learn it: Every website uses it. Frameworks like React, Vue, and Next.js dominate modern web development. Learning JavaScript opens doors to freelancing, startups, and tech companies of all sizes.
TypeScript – JavaScript, But Better
Best for: Large-scale web applications, enterprise software
TypeScript is JavaScript with type safety, which means fewer bugs and better developer experience. Major companies like Microsoft, Airbnb, and Slack use TypeScript because it makes code more maintainable and catches errors before they reach production.
Why learn it: If you already know JavaScript, TypeScript is a natural next step. It's becoming the industry standard for professional web development, and many job postings now specifically require it.
Go (Golang) – Built for Performance
Best for: Backend services, cloud infrastructure, microservices, DevOps tools
Created by Google, Go is designed for building fast, reliable, and scalable backend systems. It's the language behind Docker, Kubernetes, and many cloud-native tools. Go is simple, performant, and has built-in concurrency that makes it perfect for handling thousands of simultaneous operations.
Why learn it: Growing demand in cloud computing and DevOps. If you want to work on infrastructure, APIs, or distributed systems, Go is a smart choice.
Rust – The Future of Systems Programming
Best for: Systems programming, blockchain, game engines, performance-critical applications
Rust offers C++-level performance with memory safety guarantees. It prevents common bugs like null pointer errors and data races at compile time. Major projects like Firefox, Discord, and Cloudflare use Rust for performance-critical components.
Why learn it: Steep learning curve but incredibly rewarding. Rust developers are in high demand and command premium salaries. If you're interested in low-level programming, blockchain, or embedded systems, Rust is worth the investment.
Swift – Apple's Power Language
Best for: iOS/macOS app development
If you want to build apps for iPhone, iPad, or Mac, Swift is your language. It's modern, fast, and designed specifically for Apple's ecosystem. SwiftUI makes building beautiful iOS apps easier than ever.
Why learn it: iOS developers are in constant demand, and Apple's App Store offers massive monetization opportunities. If you're interested in mobile development and want to focus on quality over quantity, Swift is the way to go.
Kotlin – Modern Android Development
Best for: Android app development
Google's official language for Android development, Kotlin is more concise and safer than Java. It's fully interoperable with Java, so you can use existing Java libraries while writing cleaner code.
Why learn it: Android has over 70% global market share. If you want to reach billions of users, Kotlin is your ticket.
SQL – The Data Language
Best for: Database management, data analysis, backend development
SQL (Structured Query Language) isn't a programming language in the traditional sense, but it's essential for working with databases. Every app that stores data uses SQL in some form.
Why learn it: Universal skill across all tech roles. Whether you're building apps, analyzing data, or working in DevOps, you'll need SQL.
So Which One Should You Learn First?
Here's my honest advice: Don't overthink it. The best first language is the one that gets you building something you care about.
Want to build websites? Start with JavaScript.
Interested in data or AI? Go with Python.
Want to build mobile apps? Pick Swift (iOS) or Kotlin (Android).
The language matters less than you think. What matters is that you start building, start failing, and start learning. Every language teaches you programming fundamentals that transfer to other languages. So pick one, stick with it long enough to build something real, and don't look back.
The best time to start was yesterday. The second best time is right now.
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