Becoming a Junior Front End Developer: My Web Development Journey

Today, I officially became a Junior Front-End Developer — and yeah, it still feels kinda unreal.

What started as curiosity turned into late nights, messy code, broken layouts, and that one moment where nothing worked… until it suddenly did. I’ve spent months learning how the web actually works — from structuring pages with HTML, styling them with CSS, and bringing everything to life with JavaScript. Then, learning web development without coding in WordPress. Every bug taught me something. Every small win pushed me forward.

Becoming a junior developer doesn’t mean I know everything. It means I’m ready to keep learning, keep building, and keep improving. I’m excited to turn ideas into real interfaces, focus on clean design, smooth user experiences, and code that actually makes sense (most of the time).

This is just the beginning. More projects, more challenges, more growth ahead. But this Friday matters — it’s proof that consistency pays off.

Welcome to the next chapter 🚀


Best regards,

Roneda Osmani

Tech’s Biggest Glow Up This December 💻✨

The technology landscape is evolving at an unprecedented pace. From advancements in artificial intelligence 🤖 to innovations in programming languages 🦀 and development workflows ⚡, the industry is experiencing a significant transformation. Here is an overview of the key trends shaping the tech world in December 2025.

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1. Artificial Intelligence Advancements 🤖

Artificial intelligence has moved beyond simple chatbots and basic automation. Modern AI tools are capable of:

• Assisting developers in building complete applications 🛠️

• Generating digital assets such as graphics, sprites, and music 🎨🎵

• Automating repetitive tasks within software development ⏱️

These AI capabilities allow developers to focus on strategic problem-solving while delegating routine tasks to intelligent systems, increasing productivity and innovation 🚀.

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2. Evolution of Programming Languages 🦀💻

Programming languages continue to evolve to meet the demands of modern software development:

• Rust has gained widespread adoption due to its focus on safety, speed, and reliability, making it particularly attractive for backend development ⚡

• Bun, a high-performance JavaScript runtime, is increasingly considered an alternative to Node.js due to its speed and efficiency 🏎️

• Zig and WebAssembly (WASM) are enabling developers to run non-JavaScript languages in web environments 🌐

These languages and tools reflect a shift toward faster, safer, and more versatile development practices ✅.

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3. Developer Workflows and Tools 🖥️🛠️

The aesthetics and ergonomics of development environments are becoming increasingly important:

• Advanced Neovim configurations allow for highly efficient, keyboard-driven workflows ⌨️

• Lightweight terminal setups optimize both performance and productivity ⚙️

• Mechanical keyboards and other ergonomic hardware enhance both comfort and developer satisfaction 🖤

These developments demonstrate that efficiency and usability are now central considerations in professional software development 🌟.

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4. Web and Application Development 🌐🚀

Modern web and application development has become more streamlined and efficient:

• Tauri provides a lightweight alternative to Electron for building desktop applications, reducing resource usage and improving performance 💨

• Edge functions and serverless architectures allow developers to deploy applications without traditional backend infrastructure ☁️

• Full-stack development frameworks and rapid deployment strategies enable developers to create, deploy, and maintain applications more quickly than ever ⏩

This trend reflects the industry’s focus on efficient, high-performance applications 🏆.

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5. Game Development and AI Integration 🎮✨

The intersection of game development and AI is producing innovative results:

• Godot and other indie game engines are widely used for rapid game creation 🎨

• AI-generated assets, including graphics, user interface elements, and music 🎵, accelerate production and enhance creativity 🌟

• These approaches enable smaller teams to produce professional-quality games with reduced resources and time ⏱️
  
  
  

  
  
  

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Conclusion 🥹💡

The current technological landscape demonstrates a clear shift toward tools and workflows that are faster ⚡, more efficient ⏱️, and increasingly intelligent 🤖. Artificial intelligence, modern programming languages 🦀, optimized development environments 🖥️, and innovative deployment strategies 🌐 are collectively redefining how technology is created and experienced.

In this era of rapid transformation, developers and organizations that adopt these advancements are positioned to achieve higher productivity 🚀, creativity 🎨, and competitiveness 🏆.



Best regards,

Roneda Osmani

✨ 8 Months of Blogging: Still Growing, Still Grateful ✨

Eight months already — and honestly, it still feels unreal watching this little blog bloom month after month. What started as a simple creative outlet has turned into a global community that keeps expanding in the most beautiful ways. Every new reader, every quiet visitor, every returning supporter… it all means more than I can explain. 💫

📈 Milestone: 3,520 Views in 8 Months
This month, we officially reached 3.52K views — and I’m genuinely blown away.
At three months, I was amazed.
At six months, I was thankful.
At seven months, I was speechless.
Now — at eight — I’m just humbled in the sweetest way.

Every view feels like a reminder that these posts travel far beyond my screen.

🌍 Reaching Across 40+ Countries
The global stretch of this blog keeps surprising me. We’ve now reached even more countries, and the list just keeps growing.

From Europe —
Kosovo, Ireland, Portugal, Albania, Germany, France, Spain, Italy, Romania, Russia, the Netherlands, Montenegro, the U.K., Ukraine, Poland, Austria—

to Asia —
Türkiye, Azerbaijan, Nepal, Pakistan, Vietnam, Indonesia, Malaysia, the Philippines, Bangladesh, Iraq, Singapore, Uzbekistan, the United Arab Emirates,
Saudi Arabia, India, Thailand, Syria —

to Africa —
Morocco, Ethiopia, South Africa —

and all the way to the Americas —
The U.S., Mexico, Argentina, Brazil, Chile, the Dominican Republic, and El Salvador.

Seeing visitors from so many different regions feels like a reminder that stories travel in ways we don’t always see. Somehow, we’re all connected here — through words, thoughts, reflections, and curiosity. 🌎💬

💛 To Everyone Who’s Been Part of This Journey
Whether you read every post or just drop by once in a while, thank you. You’re the reason this space keeps growing. Your support turns this blog into something alive — something shared.

🌱 What’s Next
Month by month, this journey teaches me something new. I want to keep creating honestly, writing freely, and building a space where we all feel seen — no matter where in the world we are.

🙏 Thank You — Truly
Eight months.
3,520 views.
A global community spanning 40+ countries.

I’ll never take any of it for granted.

Here’s to month eight — and to all the chapters still waiting to be written. 💖

Love y'all so much for your support! 💖

With love and appreciation,
Roneda Osmani

The AI Infrastructure Rush: Why the Tech World’s Getting Its Hands Full

 The AI hype isn’t just about smart software — it’s triggering a full-blown global infrastructure boom that’s straining everything from electricity grids to raw materials. As companies race to build AI-powered data centers, the so-called “compute crunch” is revealing itself as one of the biggest tech challenges of our time. Here’s how and why.

⚡ Power demand like never before

• According to research from Deloitte, power demand from AI-based data centers could skyrocket from today's levels to as much as 123 GW by 2035 — that’s roughly 30 × more than what we’re seeing now. 

• Many new AI data centers are no longer “small server rooms.” Instead, they’re mega-facilities built specifically for AI workloads — high-density racks, massive GPU clusters, heavy power draw. Standard data-center infrastructure can’t handle that. 

• This surge isn’t just a hardware problem — it’s a power-grid problem. Utilities are scrambling to keep up; many regions aren’t even close to ready for the load that’s coming. 
  
  

  
  
  
  
  
  

🔥 Heat, cooling — and all the headaches that follow

• AI servers produce a lot of heat. Traditional air-cooling methods, built for older CPU-centric workloads, are no longer enough. As a result, many operators are switching to liquid cooling or immersion cooling to keep temperatures down.

• But that introduces new complications: water/ coolant supply, maintenance, corrosion risk, specialized infrastructure, and environmental / sustainability challenges. 

• Experts argue that the shift to high-density, liquid-cooled “AI-optimized” data centers is now a baseline requirement for any serious AI deployment. 
  
  

  
  
  

🧩 Supply-chain stress: memory, copper, components — pick your punch

• The demand for high-bandwidth memory (HBM) and other server-grade storage/memory components has soared. Many manufacturers are under pressure, and production can’t be ramped up instantly.

• The knock-on effects: potential shortages or price hikes for consumer-grade hardware (RAM, SSDs), delays for PC builders, and even risks for large AI infrastructure projects. 

• Another surprising bottleneck: raw materials. For example — Copper. AI-optimized data centers consume huge amounts of copper (for power distribution, wiring, cooling systems, infrastructure). Global copper demand is seeing major strain, and copper supply might not keep up. 
  
  
  

  
  
  

🏗️ Infrastructure, money & long-term pressure

• According to one estimate by McKinsey & Company, global investment needs to match AI-driven demand could hit $6.7 trillion over the next few years to keep data-center capacity in sync. 

• That money won’t just go into GPUs — it’ll go into power-grid expansion, cooling systems, new construction, redundant infrastructure, and future-proofing. AI isn’t a sideline project anymore; it’s becoming the backbone of digital infrastructure. 

• Yet, with all that hype and spending — there’s risk. If supply-chain bottlenecks stay, or power/water sustainability issues hit harder (especially in water-scarce or energy-stressed regions), some projects might stall or get delayed.

🌍 What this means for the world — not just Big Tech

• The compute crunch shows that AI isn’t just algorithms — it has real world consequences: energy consumption, resource shortages, environmental stress. If not managed, the AI boom could worsen energy-grid pressure and resource scarcity.

• For regular consumers and smaller businesses: hardware shortages and price spikes could trickle down. If memory chips, SSDs or GPUs are scarce, building a PC or server might become expensive or delayed.

• For markets and investors: companies involved in cooling systems, infrastructure, power — not just chip makers — will see growth. The “AI economy” is broader than it sounds.

• For governments and regulators: there might be pressure to upgrade energy grids, regulate data-center environmental impact, encourage sustainable infrastructure, and plan for this new wave of digital demand.