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We’re back! After a bit of a break, WebdevPro is relaunching with fresh energy, sharper insights, and a whole lot of web dev goodness. Whether you’ve been with us before or you’re just joining in, we’re here to bring you the latest trends, expert takes, and must-have tools—no fluff, just the good stuff.

So, what’s been brewing in the dev world? A lot. TypeScript stepped up its game, Laravel dropped something big, and Next.js leveled up to 15.2! Well, let’s just say there’s plenty to talk about. We’ve rounded up the most important updates, so you don’t have to sift through the noise.

But this isn’t just us talking at you—got a hot take on the latest trends? A tool you can’t live without? A burning question about the industry? Hit the reply button on your email and share your thoughts—your insights might even get featured in the next issue!

Ready? Let’s dive in!

The tech world is buzzing with new updates and surprising trends. From major releases to unexpected surprises, there’s always something happening. But no worries, we’ve done the hard work for you—sifting through the noise to find the gems.

Time to hear from the real devs. Check out some stories, advice, and opinions from the coding trenches. Whether it’s challenges or wins, we’ve got the inside scoop to help level up your own dev game.

Using LLMs to Code Smarter and Faster:

AI-powered coding tools have taken massive leaps, but how do they really fit into a developer’s workflow? From auto-generating boilerplate to catching subtle logic errors, LLMs are reshaping how devs approach software development. But can AI truly replace a skilled programmer, or is it just another powerful tool in our toolkit? Dive into the discussion and see how LLMs are changing the game.

Mastering Cursor Shortcuts for a Smoother Workflow:

Your text editor is where the magic happens, but are you making the most of it? There are some incredibly useful cursor navigation tips that can make your coding workflow way smoother. Whether you’re jumping between functions, making precise edits, or slicing through lines of code at lightning speed, mastering your cursor movement can save you serious time. It’s one of those underrated skills that separate a fast coder from a truly efficient one. Check out these must-know shortcuts and take your efficiency to the next level.

Makimo Team Chooses Vite Over Create-React-App:

Create-React-App (CRA) had its time, but Makimo made the switch to Vite—why? Faster builds, better DX, and a modern setup that fits right into any JS project. With CRA now officially deprecated, it might be time to reconsider your tooling.
Read the full breakdown here.

Ruby on Rails Still Matters Today:

Think Rails is outdated? Not even close. Despite the buzz around newer frameworks, Rails continues to power major platforms like GitHub, Shopify, and Basecamp. Its convention-over-configuration approach makes building and scaling apps faster and easier than ever. With an active community, continuous updates, and a rock-solid ecosystem, Rails isn’t just relevant—it’s thriving.

Still doubting? Take a closer look at why Rails remains a top choice for web development in 2025.

Northflank Said Goodbye to Next.js:

Ever felt like a framework was holding you back? That’s exactly what happened to the Northflank dev team with Next.js.

⚠️Too rigid? They wanted flexibility, not rules.

⚠️Performance issues? A leaner stack meant faster builds.

⚠️Dev experience? Custom tooling gave them full control.

So, they made the big move—and they’re not regretting it. Would you?

Read their story.

Want to stay sharp and inspired? Check out our curated book recommendations that’ll keep you on top of your game!

If you have prior experience with, or are currently learning the basics of React, you can use this book as a standalone resource to consolidate your understanding or as a companion guide to other courses.

Here’s a sneak peek from our upcoming book, Software Architecture with Spring by Wanderson Xesquevixos. Pre-order your copy today.

Analyzing case studies of JVM tuning

To fully grasp the impact of JVM tuning, it’s helpful to see how specific configurations and optimizations might be applied in a scenario. Let’s approach case studies of JVM tuning to address performance challenges.

Improving latency in a high-traffic web application (Case Study 1)

A large-scale e-commerce application experienced significant latency during peak traffic periods. Users reported slow response times, particularly during flash sales when the application handled a high volume of concurrent requests.

The root cause identified was long garbage collection pauses during Major GC in the Old Generation. The application used the default Parallel Garbage Collector, which focused on throughput but caused stop-the-world events that blocked request processing.

A possible approach to address the issue could be:

• Garbage collector selection: Switch to the G1 Garbage Collector using
-XX:+UseG1GC, designed to minimize GC pause times.

• Target pause time: Set the option -XX:MaxGCPauseMillis to target a maximum garbage collection pause duration.

• Heap sizing: Adjust the initial and maximum heap settings with -Xms<Value> and -Xmx<Value> to ensure a consistent heap size and avoid the overhead associated with resizing.

• Region size: In the G1 Garbage Collector, the heap is divided into equally sized regions, each serving as a flexible unit for memory allocation and garbage collection. The size of these regions can significantly impact performance, as smaller regions improve memory allocation granularity. Still, it may increase management overhead, while larger regions reduce overhead but can lead to less efficient memory use. We can configure the region size using the JVM parameter -XX:G1HeapRegionSize=<value>. Choosing the optimal region size depends on the application’s memory footprint and behavior.

With the latency challenges of high-traffic web applications addressed, let’s turn to a different context: optimizing performance for a data-intensive analytics platform.

Scaling a data-intensive analytics platform (Case Study 2)

A big data analytics platform faced severe performance bottlenecks while processing massive datasets. The application frequently ran out of memory and experienced long garbage collection pauses, disrupting workflows and delaying critical analytics tasks.

The root cause was identified as an overwhelmed Old Generation due to the accumulation of large, long-lived objects. The platform’s memory-intensive operations required a garbage collector capable of handling a large heap with minimal impact on execution.

A possible approach to address the issue could be:

• Garbage collector selection: Adopt the Z Garbage Collector (ZGC) for its low-pause characteristics and scalability.

• Heap scaling: Set heap size dynamically using -XX:InitialRAMPercentage=<value> and
-XX:MaxRAMPercentage=<value> to allocate memory based on available system resources.

• GC logging: Enable detailed GC logs with -Xlog:gc* for real-time monitoring and fine-tuning.

• Max pause time: Configure minimal pause durations using
-XX:MaxGCPauseMillis.

After scaling a data-intensive platform, let’s explore how JVM tuning can address memory constraints in containerized microservices architectures.

Optimizing memory usage in a microservices architecture (Case Study 3)

A microservices-based payment processing system deployed in a Kubernetes cluster frequently exceeded container memory limits, leading to pod restarts and service disruptions. This issue impacted the reliability of payment processing during peak transaction loads.

The problem was traced to inefficient heap size configurations and suboptimal garbage collection in containers' constrained memory environment.

A possible approach to address the issue could be:

• Garbage collector selection: Switch to the Shenandoah Garbage Collector using -XX:+UseShenandoahGC for concurrent garbage collection and memory compaction.

• Heap size management: Configure heap sizes as percentages of container memory using -XX:InitialRAMPercentage=<value> and
-XX:MaxRAMPercentage=<value>.

• Metaspace tuning: Prevent uncontrolled growth by setting -XX:MetaspaceSize=<value> and -XX:MaxMetaspaceSize=<value>.

These case studies demonstrate how JVM tuning can resolve performance bottlenecks and enhance application reliability. By carefully selecting garbage collectors, optimizing heap configurations, and exploring advanced JVM options, systems can achieve improved scalability, reduced latency, and efficient resource utilization. Next, we’ll explore JVM profiling and GC analysis tools.

OpenAI has just dropped some game-changing tools for developers: the Responses API and an open-source Agents SDK. These new offerings make it easier than ever to create sophisticated AI agents capable of tasks like web searches, data retrieval, and even executing computer operations. Imagine integrating an AI that can autonomously handle complex workflows directly into your applications—pretty exciting, right? Notably, the Responses API replaces the previous Assistants API and is available free of charge, with a transition period extending to mid-2026.

This development signifies a pivotal moment in AI integration for web and app development, offering developers the resources to build more intelligent and responsive applications. Read more about it.

Boost Your Core Web Vitals: Great user experiences start with performance.

One of the biggest improvements to most websites is lazy-loading images beneath the fold, rather than downloading them all on initial page load regardless of whether a visitor scrolls to see them or not. Browsers provide this natively via the loading="lazy" attribute on the <img> element, and there are also many client-side JavaScript libraries that can do this

For more tips on web performance, have a read through this documentation.

Got a tip? Hit reply and tell us about it! Your insights might just be featured in the next issue. 👀

Thanks for reading, and we hope you found something interesting here that made you learn or feel inspired. If you’ve got thoughts or feedback, hit reply—we’d love to hear from you! Until next time, keep coding, keep creating, and stay awesome. ✨

P.S. Got a topic you’d love to see covered in the next issue? Reply to this email, and we’ll add it to our list!

Cheers!

Kinnari Chohan,

Editor-in-chief