DEV Community: Seyed Ahmad

Navigating Charting Libraries for a User Behavior Alerting Dashboard: A Practical Team Evaluation

Seyed Ahmad — Sun, 08 Feb 2026 12:32:51 +0000

As a full-stack developer working on an early-stage project, I recently faced the task of selecting a charting library for our dashboard. Our team is building a service that monitors unusual user behaviors and triggers alerts, using React/Next.js on the frontend and Nest.js (Node.js) on the backend. We're aiming for a minimum viable product (MVP) first, with plans to integrate AI-driven user behavior detection later. To keep things efficient, we evaluated three options: Recharts, Tremor, and MUI X Charts. This wasn't a deep dive into benchmarks or performance tests—just a hands-on comparison based on our needs for simplicity, integration, and scalability.
Our process started with team discussions. One frontend engineer suggested Recharts because of its familiarity from past projects. Another advocated for MUI X Charts, given its ties to Material-UI, which we've used sparingly. I brought up Tremor as a newer option focused on dashboards. We each prototyped small demos—simple line charts displaying user activity metrics and alert thresholds—to see how they fit.

Here's what stood out for each:

Recharts:

This is a solid, lightweight library built specifically for React. It excels in customization; you can compose charts from primitives like axes, tooltips, and legends, making it flexible for unique visualizations. We liked how it handles responsive designs out of the box and integrates seamlessly with D3.js under the hood for complex animations or interactions. However, it's more of a "build-your-own" tool—styling requires extra effort (e.g., via CSS or libraries like Tailwind), and there's no built-in support for full dashboard components like cards or tables. For our project, it's great if we need highly tailored charts for AI insights down the line, but for the MVP, it felt like it would add unnecessary boilerplate. We worried it might slow us down if we're not careful with state management in React.

Tremor:

Designed explicitly for building dashboards, Tremor offers pre-styled components that include charts, metrics cards, tables, and more, all powered by Tailwind CSS. It's opinionated in a good way—charts look modern and consistent right away, with easy theming and dark mode support. We appreciated the simplicity: drop in a with your data, and it's ready. Integration with React/Next.js was painless, and it doesn't pull in heavy dependencies. On the downside, customization is more limited compared to Recharts; if you need very specific chart types or deep tweaks, you'd have to extend it manually. For our alerting service, where we need quick overviews of user patterns and alerts, it seems ideal—fast to prototype without overwhelming the team. It won't confuse us with too many options, making it suitable for an MVP while leaving room for AI expansions.

MUI X Charts:

As an extension of Material-UI, this library provides robust, enterprise-grade charts with features like zooming, panning, and accessibility built-in. It's powerful for data-dense applications, supporting a wide range of chart types and easy integration if you're already in the MUI ecosystem. Our demo showed smooth performance with large datasets, which could be useful as our user behavior data grows. That said, it comes with more complexity: the learning curve is steeper if your team isn't fluent in MUI's theming system, and it can feel bloated if you only need charts (pulling in the full MUI core). For us, it might overcomplicate the MVP phase—debugging styles or handling prop drilling could distract from core features like alert logic. It's better suited for mature products with heavy UI consistency needs, but it risked making our setup more rigid than necessary.

In the end, our team leaned toward Tremor. It strikes a balance for our current stage: quick to implement for the MVP, without the pitfalls of over-customization (like Recharts) or added framework overhead (like MUI X Charts). We're not locking ourselves in—it's modular enough to swap or extend later when AI comes into play. This evaluation reminded me how crucial it is to align tools with project maturity; rushing into something too advanced can bog down progress.
What charting libraries have you evaluated recently? I'd love to hear your experiences—feel free to share in the comments!

Atomic Design: Building Interfaces Like Nature Builds Life

Seyed Ahmad — Tue, 02 Dec 2025 21:40:18 +0000

Introduction
Frontend development often feels like orchestrating a symphony: countless components, styles, and interactions must harmonize to create a seamless user experience. Without structure, this symphony can quickly descend into chaos. Enter Atomic Design, a methodology introduced by Brad Frost, which borrows inspiration from chemistry to bring clarity and scalability to UI development.

Atomic Design is not just a design philosophy—it’s a way of thinking about components as living organisms that grow from simple building blocks into complex, interactive systems.

The Five Levels of Atomic Design
Atomic Design organizes UI into five hierarchical stages:

Atoms: The smallest building blocks—buttons, inputs, labels, colors, and typography.
Molecules: Combinations of atoms that form functional units, like a search bar (input + button).
Organisms: Larger sections of the interface, such as a navigation bar or product card grid.
Templates: Page-level wireframes that define layout and structure without specific content.
Pages: Realized templates filled with actual data and content, representing the final user-facing product.

This hierarchy mirrors nature: atoms form molecules, molecules form organisms, and organisms create living systems.

Why Atomic Design Matters in Frontend

Scalability: Large projects remain manageable by breaking them into reusable parts.
Consistency: UI elements behave uniformly across the application.
Collaboration: Designers and developers share a common vocabulary.
Efficiency: Reusable atoms and molecules accelerate development.
Maintainability: Changes ripple predictably through the hierarchy.

Example: React Project with Atomic Design Structure
Let’s imagine a React + Next.js e-commerce project. Here’s how the folder structure might look when applying Atomic Design principles:

src/ components/ atoms/ Button/ Button.tsx Button.module.css Input/ Input.tsx Input.module.css Typography/ Heading.tsx Text.tsx molecules/ SearchBar/ SearchBar.tsx SearchBar.module.css ProductCard/ ProductCard.tsx ProductCard.module.css organisms/ Header/ Header.tsx Header.module.css Footer/ Footer.tsx Footer.module.css ProductGrid/ ProductGrid.tsx templates/ HomeTemplate.tsx ProductTemplate.tsx pages/ index.tsx product/[id].tsx

Atoms: Button, Input, Typography
Molecules: SearchBar, ProductCard
Organisms: Header, Footer, ProductGrid
Templates: HomeTemplate, ProductTemplate
Pages: Actual routes like / and /product/[id]

This structure ensures that every piece of UI is reusable, testable, and easy to maintain. For example, if you redesign the Button atom, the change propagates across all molecules and organisms that use it.

Conclusion
Atomic Design transforms frontend development into a modular, scalable, and elegant process. By thinking in terms of atoms, molecules, and organisms, developers can craft interfaces that are both consistent and adaptable. In modern frameworks like React and Next.js, this methodology aligns perfectly with component-driven architecture, making it a powerful ally for teams building complex applications.

Atomic Design is more than a methodology—it’s a philosophy of growth, reminding us that even the most complex systems begin with the smallest building blocks.

How I Achieved a 95+ Lighthouse Performance Score in a Next.js E-commerce Site (And How You Can, Too)

Seyed Ahmad — Sun, 23 Nov 2025 12:08:12 +0000

In the world of e-commerce, every second counts. Studies show that a mere one-second delay in page load time can lead to a 7% reduction in conversions. For a business, that's not just a statistic; it's lost revenue.

When a client approached me to rebuild their sluggish, WordPress-based e-commerce store, their main goal was simple: make it blazing fast. They were tired of high bounce rates and abandoned carts. My goal was to not only meet but exceed their expectations by leveraging the power of Next.js.

The result? A consistent Lighthouse Performance Score of 95+, which directly translated into a smoother user experience and increased sales.

Here’s a breakdown of the key strategies I implemented to achieve this.

1. Embracing Next.js's Core Strengths

The foundation of any high-performance Next.js site is using its built-in features correctly.

· Server-Side Rendering (SSR) for Critical Pages: I used SSR for product pages and the homepage. This ensures that the initial HTML is fully rendered on the server, sending a ready-to-display page to the user. This is crucial for SEO and for the First Contentful Paint (FCP) metric.
· Static Site Generation (SSG) for Product Catalog: For product listing pages and blog content, I used SSG. At build time, Next.js pre-renders all these pages into static HTML and JSON files. The result? Near-instant loading from a global CDN, which is a massive win for both Performance and Core Web Vitals.

2. Mastering Image Optimization with next/image

Unoptimized images are the number one performance killer. The Next.js next/image component was a game-changer.

· Automatic Modern Formats: It automatically serves images in WebP format when the browser supports it, significantly reducing file size without sacrificing quality.
· Lazy Loading by Default: Images only load as they enter the viewport, reducing the initial page weight and improving Largest Contentful Paint (LCP).
· Responsive Sizing and Placeholders: I ensured all product images were correctly sized and used the blur placeholder for a seamless visual experience while the high-resolution image loads.

3. Intelligent Data Fetching and Caching

A fast frontend is useless if it's waiting for data.

· Incremental Static Regeneration (ISR): This was the secret sauce for the product catalog. I could update static product pages without needing a full site rebuild. When a product's price or inventory changed, the page would automatically re-generate in the background after the first request, ensuring data freshness with static speed.
· Efficient API Calls: I streamlined all API calls to the backend, ensuring they were minimal and only fetched the necessary data. Caching strategies were implemented at the API level to further reduce latency.

4. Code Splitting and Bundle Optimization

A massive JavaScript bundle will cripple your site's interactivity.

· Next.js Automatic Code Splitting: Next.js automatically splits your code by page. The user only downloads the JS needed for the page they are visiting.
· Lazy Loading Components: I identified heavy components (like complex product carousels or recommendation widgets) and lazy-loaded them using next/dynamic to ensure they didn't block the initial render.

5. The Results: Beyond a High Score

After the launch, the metrics spoke for themselves:

· Lighthouse Performance Score: 95+
· Largest Contentful Paint (LCP): Reduced from over 4 seconds to 1.8 seconds.
· Cumulative Layout Shift (CLS): Achieved a nearly perfect score of 0.05.
· First Input Delay (FID): Consistently under 100ms.

The client reported a noticeable decrease in bounce rates and an increase in average session duration and conversion rates.

Frequently Asked Questions (FAQ)

Q1: My current e-commerce site (on WordPress/Shopify) is slow. Can you migrate it to Next.js?

A:Absolutely. I specialize in migrating existing e-commerce platforms to a custom, high-performance Next.js frontend. This process typically involves connecting to your existing backend or headless CMS while building a lightning-fast frontend.

Q2: Is Next.js a good choice for a small business e-commerce site?

A:Yes, 100%. While it's powerful enough for large-scale applications, its performance and SEO benefits are a massive advantage for small businesses looking to stand out and convert more visitors. The investment in speed pays for itself.

Q3: What about e-commerce functionality like carts and payments?

A:Next.js is the frontend. I build it to seamlessly connect with robust backend services and APIs that handle all e-commerce logic, including carts, user accounts, and secure payment gateways like Stripe.

Q4: How long does it take to build a performant Next.js e-commerce site?

A:The timeline depends on the complexity and number of features. A basic, highly optimized store can be launched in a few weeks. I prioritize a Minimum Viable Product (MVP) approach to get you to market quickly, then iterate and add features.

Q5: Are you only a frontend developer?

A:My core expertise is in frontend development with React and Next.js. However, I have strong full-stack awareness and can either handle the complete project or collaborate seamlessly with your backend team to ensure a perfect result.

Ready to Build Your High-Performance E-commerce Site?

A slow website is costing you money every day. If you're ready to upgrade to a fast, modern, and conversion-optimized e-commerce experience built with Next.js, let's talk.

Contact me on WhatsApp to discuss your project: +98 990 342 60454

Let's build something fast together.

Exploring Heap Memory and Garbage Collector Algorithm in Go Language

Seyed Ahmad — Tue, 26 Aug 2025 20:08:40 +0000

Go automatically manages memory with the heap and a concurrent mark-and-sweep garbage collector.

Escape analysis decides whether variables live on the stack or heap.

GC uses a tricolor abstraction (white, gray, black) to track objects.

Runs concurrently with goroutines using write barriers to stay consistent.

You can tune performance with GOGC, GOMEMLIMIT, and SetMemoryLimit.

Result: less manual memory management, better scalability, and predictable performance. 🚀

Exploring Heap Memory and Garbage Collection in Go

Memory management is a critical part of building scalable applications. Go takes care of this for developers by automatically allocating memory on the heap and reclaiming unused objects through its garbage collector (GC). Unlike many other languages, Go’s GC is concurrent, non-generational, and non-compacting, designed to reduce pause times and keep applications responsive.

🔹 Heap Memory in Go

Dynamic Allocation

The heap is where Go stores data that cannot be determined at compile time or whose size is dynamic—such as slices, maps, and objects that escape the current function scope.

Escape Analysis

Before deciding where a variable should live, the Go compiler performs escape analysis:

If the variable is short-lived and stays inside the function, it goes on the stack.

If its lifetime extends beyond the function, or its address is referenced elsewhere, it “escapes” to the heap.

This optimization minimizes GC overhead by keeping as many allocations on the stack as possible.

🔹 Go’s Garbage Collector

Go’s GC is built on a concurrent tricolor mark-and-sweep algorithm.

Mark Phase

The GC starts from roots (global vars, stack references) and traverses the object graph, marking reachable objects as live.
✅ This runs concurrently with your program, minimizing stop-the-world pauses.

Sweep Phase

After marking, the GC scans the heap, identifying unmarked (unreachable) objects and reclaiming that memory for reuse.

🔹 Tricolor Abstraction

The “tricolor” model helps GC track object states efficiently:

⚪ White → Not yet visited, candidates for collection.

⚫ Black → Already visited and confirmed reachable.

⚪➡️⚫ Gray → Discovered but not fully scanned yet.

This ensures no reachable object is mistakenly collected.

🔹 Concurrency and Write Barriers

Since marking runs concurrently with goroutines, Go uses write barriers.
Whenever a pointer is written, the barrier ensures new or modified references are tracked correctly. This keeps heap memory consistent even while your app is running.

🔹 GC Tuning in Go

Go allows fine-tuning GC behavior to balance memory usage and performance:

GOGC → Controls the percentage growth of heap before a GC cycle runs.

Higher values → fewer collections, higher memory use.

Lower values → more frequent collections, lower peak memory.

Go 1.19+ → Introduced GOMEMLIMIT and runtime/debug.SetMemoryLimit to set a soft memory cap, improving control in memory-constrained environments.

✅ Takeaway

Go’s memory management strikes a balance between developer productivity and runtime performance. By leveraging escape analysis, concurrent GC, and tuning options, you can build apps that scale smoothly without manually managing memory.

Profiling in Go: A Practical Guide to Finding Performance Bottlenecks

Seyed Ahmad — Tue, 26 Aug 2025 19:55:26 +0000

When working with Go, performance is often a key consideration. Whether you’re building a small CLI tool or a large-scale backend service, understanding how your code consumes CPU, memory, and other resources is essential.
That’s where profiling comes in.

In this post, we’ll walk through Go’s built-in profiling tools, how to use them, and how to interpret their results.

🚀 What is Profiling in Go?

Profiling is the process of analyzing the runtime behavior of your Go program to identify:

Where the program spends most of its time

Which functions are the most expensive in terms of CPU or memory

How resources like goroutines and mutexes are being used

This insight helps developers optimize performance and reduce bottlenecks.

🛠️ Go’s Built-in Profiling Tools

Go comes with powerful profiling utilities in the standard library, mainly through the pprof package.

runtime/pprof

This package allows you to collect different types of profiles programmatically within your application.

package main

import (
"log"
"os"
"runtime/pprof"
)

func main() {
f, err := os.Create("cpu.prof")
if err != nil {
log.Fatal(err)
}
defer f.Close()

if err := pprof.StartCPUProfile(f); err != nil {
    log.Fatal(err)
}
defer pprof.StopCPUProfile()

// Example workload
for i := 0; i < 1000000; i++ {
    _ = i * i
}

}

This example creates a CPU profile that you can later analyze.

net/http/pprof

For long-running applications like servers, Go offers HTTP-based profiling with a simple import:

package main

import (
"log"
"net/http"
_ "net/http/pprof"
)

func main() {
log.Println(http.ListenAndServe("localhost:6060", nil))
}

This exposes endpoints like:

/debug/pprof/cpu

/debug/pprof/heap

which can be accessed via a browser or tools like curl.

Profiling During Tests

Go’s test tool includes built-in flags for profiling:

go test -cpuprofile=cpu.out -memprofile=mem.out ./...

This automatically generates profiling data while your tests run.

📊 Analyzing Profile Data with go tool pprof

Once you have generated profile data (e.g., cpu.prof or mem.out), you can analyze it with:

go tool pprof cpu.prof

Or, for a web-based visualization:

go tool pprof -http=:8080 cpu.prof

The tool provides call graphs, flame graphs, and detailed function cost analysis.

🔍 Types of Profiles in Go

Go supports multiple profiling types:

CPU Profile → Where the program spends CPU time

Heap Profile → Memory allocations & leaks

Goroutine Profile → Active goroutines & their stacks

Block Profile → Points where goroutines block on resources

Mutex Profile → Mutex contention issues

Each profile type gives a different perspective on your program’s behavior.

✅ Conclusion

Profiling in Go is straightforward yet powerful thanks to its built-in tooling. By leveraging runtime/pprof, net/http/pprof, and test flags, you can easily gather runtime data. With go tool pprof, you gain insights into how your application behaves under real workloads.

👉 Whether you’re chasing down a memory leak or optimizing CPU usage, profiling is your best friend.

✨ What about you? Have you used Go’s pprof before, or do you rely on external tools like Prometheus or Jaeger for performance monitoring? Share your experience in the comments!

Understanding the Difference Between MongoDB, SQL, NoSQL, and PostgreSQL – Without the Code

Seyed Ahmad — Mon, 04 Aug 2025 04:31:29 +0000

If you're a startup founder, product owner, or someone looking to build a web application, you’ve likely heard about terms like MongoDB, SQL, NoSQL, or PostgreSQL when talking to developers. These terms often feel like a black box—highly technical and confusing. But behind those names are tools that can shape the success, scalability, and future-proofing of your product.

As a frontend developer who also understands how these databases work, I often help my clients choose the right structure from the very beginning—even when they come in looking "just for a frontend developer."

So let’s break them down in plain English. No code. No jargon. Just real-world perspective.

When structure matters: Traditional SQL databases

Imagine a library where every book must follow strict rules—title, author, ISBN, and publishing date must be recorded exactly the same way for every book. That's how SQL databases like MySQL or PostgreSQL work.

They are structured, highly reliable, and excellent when your data relationships are clear and fixed—think banking systems, ERP software, or inventory management.

If your app involves precise data relationships, like a multi-step customer order system or complex reporting tools, a structured database like PostgreSQL is often the best choice.

When flexibility wins: MongoDB and NoSQL databases

Now picture a digital scrapbook—you might have one page with a recipe, another with a picture and a story, and another with a checklist. There’s no fixed format.

That’s how NoSQL databases like MongoDB operate. They're schema-less, which means you don’t need to define everything upfront. This makes them incredibly flexible for projects where the data shape evolves over time.

Perfect use cases? Content-heavy apps, social media platforms, e-commerce product catalogs, or rapid MVPs that need to get out fast and adapt quickly.

I’ve helped clients build React-based dashboards connected to MongoDB for exactly this reason: speed, simplicity, and adaptability.

PostgreSQL: The best of both worlds?

Here’s where PostgreSQL shines. It's technically a SQL database, but over time it's become more advanced, supporting features often associated with NoSQL—like storing JSON data and handling flexible structures.

If you’re building a modern SaaS product that needs reliability, advanced analytics, but also some data flexibility, PostgreSQL gives you both structure and power.

So… which one is right for your project?

You don’t always need to choose just one. I’ve worked on projects where PostgreSQL handles sensitive transactional data, while MongoDB stores user-generated content or logs.

What matters most is understanding your data, your growth plan, and choosing the tech stack that will grow with you—not hold you back.

Looking for a React or Next.js frontend developer who also understands databases?

Whether you're working with MongoDB, SQL, NoSQL, or PostgreSQL, I can help you build fast, responsive, and scalable frontends—and make sure the data layer behind your product supports your goals.

For building React or Next.js applications that connect seamlessly with MongoDB, PostgreSQL, or other data solutions, feel free to reach out for a consultation. Let’s design something smart—together.

Choosing State Management in React and Next.js: Do You Really Need a Library?

Seyed Ahmad — Mon, 04 Aug 2025 04:26:40 +0000

When developing web projects using React or Next.js, one of the key decisions developers face is how to manage application state. This decision significantly impacts the simplicity, scalability, and performance of the app. But the question is: do you really need a state management library for every project?

With React 19 and the recent improvements in Context API, it’s now possible to manage shared state efficiently in many small to medium-sized projects without the need for external libraries like Zustand, Jotai, or Redux Toolkit.

For example, simple projects such as:

A To-Do List

A multi-step form (like registration or checkout)

A personal or company website with static content

A lightweight admin panel for displaying basic stats

These can all be built smoothly using just Context API, without the overhead of installing and wiring up a third-party state manager.

However, as your application grows more complex—say you're building:

An e-commerce platform with live cart updates and filtering

A real-time dashboard with multiple dependent modules

A large-scale admin system with dynamic permissions and user roles

In those cases, using a dedicated state management library can make your codebase more maintainable and scalable. Libraries like Zustand, Jotai, Recoil, or Redux Toolkit offer better structure, fine-grained reactivity, and sometimes even performance gains through selective rendering or custom middleware.

It’s important to emphasize: don’t choose a state library just because it's trending. Many developers add Redux or Zustand to their stack even when their app doesn’t really need it, resulting in unnecessary complexity and reduced performance.

If you're unsure whether your project should rely on Context API or an external library, I’d be happy to help you evaluate the best fit.

I'm a developer who can help you design and build modern, fast, and scalable React and Next.js websites using the right state management tool—whether it’s Context API, Zustand, Jotai, Recoil, or Redux Toolkit.

For building your React or Next.js websites, dashboards, or applications using Context API or a professional state management library, feel free to contact me and get a free consultation for your project.

[Boost]

Seyed Ahmad — Mon, 21 Jul 2025 21:22:52 +0000

Seyed Ahmad

Jul 21 '25

🚀 React 19 + React Router v7: A Modern Approach to Building React Apps

#react19 #reactrouter7 #webdev #programming

Comments

3 min read

🚀 React 19 + React Router v7: A Modern Approach to Building React Apps

Seyed Ahmad — Mon, 21 Jul 2025 21:18:34 +0000

With the release of React 19 and the latest evolution of React Router v7, the way we scaffold, structure, and scale React apps is changing — for the better.

In this article, I’ll walk you through:

The new create-react-router installer
How React Router v7 redefines routing
What’s inside the new root.tsx
Support for SSR, SSG, and React Server Components (RSC)
How this approach compares with building React apps from scratch

Let’s dive in. 🔍

🛠️ Install with One Command

The modern way to start a React app is as simple as:

npx create-react-router@latest

This command sets up a full-stack-capable React app powered by:

Vite as the lightning-fast build tool
React Router v7 for routing
Smart file-based routing with routes/ folder
Built-in support for loaders, actions, and error boundaries
SSR/SSG/RSC capabilities via plugin integration (like with Vite or Remix-style approaches)

🔔 Fun fact: React Router is now maintained by Shopify — and they’ve taken routing seriously with deep framework-level integration.

📂 Meet `root.tsx`: The New `App.tsx`

The traditional App.tsx has been replaced by root.tsx, which serves as the top-level layout for your app. This file:

Acts as the shared layout across all pages
Defines the global <Outlet /> for rendering nested routes
Sets up scroll restoration, navigation UI, or even context providers
Handles shared loaders or error boundaries

Example snippet from root.tsx:

import { Outlet, ScrollRestoration } from "react-router-dom";

export function Root() {
  return (
    <>
      <Navbar />
      <Outlet />
      <ScrollRestoration />
    </>
  );
}

It's a clean, modular way to separate global layout from page-level logic.

📁 File-based Routing and Nested Layouts

Routes are defined by file structure inside the /routes folder:

/routes
  ├─ index.tsx       → Home page
  ├─ about.tsx       → About page
  └─ blog/
      ├─ index.tsx   → Blog listing
      └─ $postId.tsx → Blog post (dynamic route)

Each route file can export:

loader() for prefetching data before rendering
action() for handling form submissions
ErrorBoundary to handle per-page errors

🎯 With this setup, routing, data fetching, and page structure are colocated and intuitive.

🌐 SSR, SSG, and React Server Components

By default, apps created with create-react-router are SPAs. However, they are ready for:

SSR (Server-Side Rendering): for dynamic, fast, SEO-friendly pages
SSG (Static Site Generation): great for marketing or landing pages
RSC (React Server Components): for mixing client/server logic within a single React tree

These strategies are per-route configurable. That means:

Your landing page can use SSG
Your dashboard can use SSR
A content-heavy route can use RSC

React Router’s modern architecture makes this flexibility seamless — especially when integrated with Vite plugins or tools like Remix or Hydrogen.

🆚 Starting from Scratch?

Yes, you can start a React app from scratch with Vite, Parcel, or Rsbuild and plug in your own router, data-fetching library, SSR logic, etc. But be prepared for:

More boilerplate
Harder maintainability
Missing out on framework-level optimizations (like prefetching, route bundling, error boundaries)

React’s own docs say it best:

"Starting from scratch is often the same as building your own ad hoc framework."

Unless you’re doing it to learn deeply — or for a very specific use case — I recommend starting with an opinionated setup like create-react-router.

✅ Summary

React 19 and React Router v7 are pushing the React ecosystem forward by:

Simplifying full-stack app creation
Offering a modern, modular layout (root.tsx)
Supporting SSR/SSG/RSC out of the box
Promoting colocated routing and data fetching
Reducing waterfall loading and performance issues

If you haven't tried the new setup yet, now’s the time.

npx create-react-router@latest

💬 Let me know how you’re building with React 19. Are you starting from scratch or using these new framework-enhanced setups?

🧠 Follow me on LinkedIn for more insights.

Vite, React, SSR, RSC, Frontend

Why Should You Use a CDN to Boost Your Website Speed?

Seyed Ahmad — Fri, 21 Feb 2025 21:50:23 +0000

Have you ever wondered why some websites load almost instantly while others seem to take forever? The answer often lies in whether or not they use a Content Delivery Network (CDN). But what exactly is a CDN, and how can it supercharge your website's speed and performance? Let’s break it down!

What is a CDN?

A Content Delivery Network (CDN) is a globally distributed network of servers that store cached versions of your website’s content. Instead of every visitor fetching data from a single central server, they get served from the nearest CDN location, significantly reducing load times.

How Does a CDN Improve Website Speed?

1. Reduced Latency: Why Does Distance Matter?

When a user visits your website, their browser requests data from your server. If your server is far away, it takes longer for the data to travel. A CDN places your content on multiple servers worldwide, ensuring that users receive data from the closest server, cutting down load times.

2. Faster Load Times: Can a Few Seconds Make a Difference?

Absolutely! Studies show that if a website takes more than 3 seconds to load, users are likely to leave. By serving content from a nearby CDN server, your website loads much faster, improving user experience and reducing bounce rates.

3. Handling High Traffic: What Happens When Thousands of Users Visit at Once?

Without a CDN, high traffic can overwhelm your server, causing slow performance or even crashes. A CDN distributes this traffic across multiple servers, ensuring smooth performance even during traffic spikes.

4. Better SEO: Does Website Speed Affect Search Rankings?

Yes! Google considers page speed a ranking factor. Faster websites have better SEO scores, leading to improved search rankings and higher organic traffic.

Additional Benefits of Using a CDN

1. Enhanced Security: Can a CDN Protect My Website?

Yes! CDNs provide DDoS protection, SSL encryption, and security layers that safeguard your website from cyber threats.

2. Bandwidth Savings: Can a CDN Reduce Hosting Costs?

CDNs optimize content delivery, reducing the amount of data your origin server needs to handle. This leads to lower bandwidth costs and improved efficiency.

3. Global Reach: Can My Website Perform Well Worldwide?

Definitely! A CDN ensures that users around the world experience fast load times, no matter where they are located.

How Can You Start Using a CDN?

Step 1: Choose a CDN Provider

Popular options include Cloudflare, Amazon CloudFront, Akamai, Fastly, and Google Cloud CDN.

Step 2: Integrate with Your Website

Most CDNs offer easy integration with CMS platforms like WordPress, Shopify, and Next.js.

Step 3: Configure and Optimize

Enable caching, minify files, and use image optimization techniques to get the most out of your CDN.

Conclusion: Is a CDN Worth It?

If you want a faster, more secure, and globally accessible website, using a CDN is a no-brainer. With improved speed, SEO rankings, and reliability, it’s an essential tool for any modern website. So, what are you waiting for? Boost your site’s performance today with a CDN! 🚀

Hello, my name is Seyed Ahmad, and I am a professional web developer specializing in React, Next.js, and WordPress.
Read More:
https://dev.to/seyedahmaddv/website-development-service-packages-4f2

Performance Optimization Techniques in React and Next.js

Seyed Ahmad — Fri, 21 Feb 2025 21:24:31 +0000

Optimizing performance in React and Next.js applications is crucial for improving user experience, reducing load times, and enhancing SEO. This article covers essential techniques to optimize performance effectively.

1. Code Splitting and Lazy Loading

React: Use React.lazy() and Suspense to load components only when needed.
Next.js: Supports automatic code splitting and dynamic imports using next/dynamic.

2. Server-Side Rendering (SSR) and Static Site Generation (SSG)

SSR: Renders pages on the server for better SEO and faster first-page load (getServerSideProps).
SSG: Pre-renders pages at build time for high performance (getStaticProps).
Incremental Static Regeneration (ISR): Updates static content without rebuilding the entire site.

3. Optimizing Images

React: Use optimized image formats (WebP, AVIF) and lazy loading.
Next.js: Utilize the built-in next/image component for automatic optimization.

4. Memoization and Caching

UseMemo & UseCallback: Prevent unnecessary re-renders.
React Query/SWR: Efficient data fetching and caching.
Next.js API Routes Caching: Store frequently accessed data.

5. Reducing JavaScript Bundle Size

Tree Shaking: Eliminate unused code.
Minification & Compression: Use tools like Terser and Gzip/Brotli compression.
Remove Unused Dependencies: Audit with tools like webpack-bundle-analyzer.

6. Optimizing Fonts and Assets

Self-host fonts: Reduce external requests.
Use next/font (Next.js 13+): Optimizes font loading.
Minimize HTTP Requests: Combine assets where possible.

7. Efficient State Management

Use Context API sparingly: Avoid unnecessary re-renders.
Leverage Zustand, Recoil, or Redux Toolkit: Efficient state management solutions.

8. Server and Network Optimization

CDN (Content Delivery Network): Distribute assets globally for faster delivery.
Edge Functions & Middleware: Process requests closer to users.
Reduce API Calls: Batch requests and use caching.

Conclusion

By implementing these optimization techniques, React and Next.js applications can achieve faster load times, improved SEO, and better user experience. Continuous monitoring with tools like Lighthouse and Web Vitals helps maintain performance over time.

Comparison of Different Tools for Building Microservices (NestJS, Spring Boot, Express.js)

Seyed Ahmad — Fri, 21 Feb 2025 21:07:15 +0000

Microservices architecture has become a widely adopted approach for building scalable and maintainable applications. Choosing the right framework or tool can significantly impact development speed, performance, and maintainability. This article compares three popular tools for building microservices: NestJS, Spring Boot, and Express.js.

1. NestJS

Overview:

NestJS is a progressive Node.js framework built on TypeScript and heavily inspired by Angular. It provides an out-of-the-box architecture for building scalable server-side applications.

Pros:

Modular Architecture: Encourages separation of concerns and maintainability.
TypeScript Support: Strongly typed code enhances reliability.
Built-in Dependency Injection: Helps manage complex applications efficiently.
GraphQL & WebSocket Support: Comes with built-in support for GraphQL, WebSockets, and RESTful APIs.
Extensive Documentation & Community Support.

Cons:

Learning Curve: Might be difficult for developers unfamiliar with Angular’s structure.
Performance Overhead: Slightly more complex than barebones solutions like Express.js.

2. Spring Boot

Overview:

Spring Boot is a Java-based framework that simplifies the creation of production-ready applications with minimal configuration.

Pros:

Robust Ecosystem: Seamlessly integrates with the entire Spring framework.
Enterprise-Ready: Ideal for large-scale applications requiring stability and security.
Built-in Security & Authentication: Includes powerful tools like Spring Security.
Microservices Oriented: Designed for cloud-native and distributed applications.

Cons:

Higher Resource Consumption: Java-based applications tend to use more memory than Node.js applications.
Steep Learning Curve: Requires knowledge of Java, Spring ecosystem, and dependency management.

3. Express.js

Overview:

Express.js is a minimalist and unopinionated web framework for Node.js, making it a popular choice for lightweight microservices.

Pros:

Lightweight & Flexible: Minimal abstraction allows for maximum control.
Fast Performance: Runs efficiently with low overhead.
Large Ecosystem: Works well with various Node.js libraries and tools.
Easy to Learn & Use: Simple API for quick development.

Cons:

Lacks Built-in Features: Requires additional libraries for authentication, validation, and dependency injection.
Not Opinionated: While flexible, the lack of structure can lead to inconsistent codebases.

Which One Should You Choose?

Use NestJS if you need a structured, TypeScript-based, and scalable Node.js framework with built-in features.
Use Spring Boot if you require an enterprise-grade, Java-based solution with powerful integrations and security features.
Use Express.js if you prefer a lightweight, flexible, and fast microservices solution with minimal abstraction.

Each tool has its strengths and is best suited for different project needs. The choice depends on your project’s requirements, team expertise, and scalability goals.

Hello, my name is Seyed Ahmad, and I am a professional web developer specializing in React, Next.js, and WordPress. I focus on modern, high-performance, and SEO-friendly web solutions to help businesses grow their online presence.
Read More:
https://dev.to/seyedahmaddv/website-development-service-packages-4f2

DEV Community: Seyed Ahmad

Navigating Charting Libraries for a User Behavior Alerting Dashboard: A Practical Team Evaluation

Here's what stood out for each:

Recharts:

Tremor:

MUI X Charts:

Atomic Design: Building Interfaces Like Nature Builds Life

How I Achieved a 95+ Lighthouse Performance Score in a Next.js E-commerce Site (And How You Can, Too)

1. Embracing Next.js's Core Strengths

2. Mastering Image Optimization with next/image

3. Intelligent Data Fetching and Caching

4. Code Splitting and Bundle Optimization

5. The Results: Beyond a High Score

Frequently Asked Questions (FAQ)

Q1: My current e-commerce site (on WordPress/Shopify) is slow. Can you migrate it to Next.js?

Q2: Is Next.js a good choice for a small business e-commerce site?

Q3: What about e-commerce functionality like carts and payments?

Q4: How long does it take to build a performant Next.js e-commerce site?

Q5: Are you only a frontend developer?

Ready to Build Your High-Performance E-commerce Site?

Exploring Heap Memory and Garbage Collector Algorithm in Go Language

Profiling in Go: A Practical Guide to Finding Performance Bottlenecks

Understanding the Difference Between MongoDB, SQL, NoSQL, and PostgreSQL – Without the Code

Choosing State Management in React and Next.js: Do You Really Need a Library?

[Boost]

🚀 React 19 + React Router v7: A Modern Approach to Building React Apps

🚀 React 19 + React Router v7: A Modern Approach to Building React Apps

🛠️ Install with One Command

📂 Meet root.tsx: The New App.tsx

📁 File-based Routing and Nested Layouts

🌐 SSR, SSG, and React Server Components

🆚 Starting from Scratch?

✅ Summary

Why Should You Use a CDN to Boost Your Website Speed?

What is a CDN?

How Does a CDN Improve Website Speed?

1. Reduced Latency: Why Does Distance Matter?

2. Faster Load Times: Can a Few Seconds Make a Difference?

3. Handling High Traffic: What Happens When Thousands of Users Visit at Once?

4. Better SEO: Does Website Speed Affect Search Rankings?

Additional Benefits of Using a CDN

1. Enhanced Security: Can a CDN Protect My Website?

2. Bandwidth Savings: Can a CDN Reduce Hosting Costs?

3. Global Reach: Can My Website Perform Well Worldwide?

How Can You Start Using a CDN?

Step 1: Choose a CDN Provider

Step 2: Integrate with Your Website

Step 3: Configure and Optimize

Conclusion: Is a CDN Worth It?

Performance Optimization Techniques in React and Next.js

1. Code Splitting and Lazy Loading

2. Server-Side Rendering (SSR) and Static Site Generation (SSG)

3. Optimizing Images

4. Memoization and Caching

5. Reducing JavaScript Bundle Size

6. Optimizing Fonts and Assets

7. Efficient State Management

8. Server and Network Optimization

Conclusion

Comparison of Different Tools for Building Microservices (NestJS, Spring Boot, Express.js)

1. NestJS

Overview:

Pros:

Cons:

2. Spring Boot

Overview:

Pros:

Cons:

3. Express.js

Overview:

Pros:

Cons:

Which One Should You Choose?

📂 Meet `root.tsx`: The New `App.tsx`