Let’s talk about startup time. Not the Silicon Valley kind, but the time it takes for your EF Core app to boot up, stretch its legs, and actually start handling requests. If your app is dragging its feet like a teenager on a Monday morning, you need a secret weapon: Compiled Models.
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Imagine you’re running a restaurant. Every time a customer orders, you buy a brand-new frying pan, use it once, and toss it out. Sounds absurd, right? But that’s essentially what happens in EF Core when you create a new DbContext for every request. It’s wasteful, slow, and totally unnecessary. Enter DbContext Pooling: the genius way to reuse those frying pans—err, contexts—and turbocharge your app’s performance.
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As a developer, you know the web development landscape constantly evolves, and staying ahead means embracing tools and practices that simplify and enhance how we build applications. That’s why I’m thrilled to announce my latest project: “htmx Essentials for ASP.NET Core Developers.”
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Regarding speed and efficiency, Rust doesn’t just run the race—it leaves other languages eating its dust. Built for blazing performance and low-level control, Rust’s unique features make it a standout choice for projects where every millisecond and megabyte count. Let’s dive into why Rust is the Usain Bolt of programming languages and how it stacks up in the performance department.
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Switching from C# to Rust can feel like stepping into a new world. Suddenly, you’re dealing with ownership, borrowing, and a compiler that’s as strict as your high school math teacher. But don’t worry—you’ve got this. With the right mindset, some practical tips, and a few helpful resources, you’ll go from a Rust rookie to a Rustacean in no time. Let’s dive in!
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Programming ecosystems are like bustling cities. .NET is the metropolis with skyscrapers and a thriving business district, while Rust is the up-and-coming tech hub—small but mighty, with startups everywhere. Both offer incredible opportunities, but their vibes are very different. So, let’s grab a coffee and tour these two dynamic ecosystems!
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Concurrency in programming can be like cooking dinner while answering emails—you’re juggling multiple tasks at once, hoping nothing burns. C# and Rust both tackle concurrency, but their approaches couldn’t be more different. C# offers a traditional multitasking toolkit with threads and async/await, while Rust rewrites the rulebook with a compiler-enforced, fearless concurrency model. Let’s see how they compare!
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Regarding memory management, programming languages take different approaches to ensure your applications don’t crash and burn. Think of it as cleaning up after a party: C# hires a janitor (garbage collector) to tidy up for you while Rust hands you a checklist and says, “You’ve got this.” Both methods work, but they have their quirks. Let’s dive into how memory is handled in these two languages and what makes each approach unique.
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Programming languages are like different cuisines. Some stick to comfort and tradition, like C# with its familiar object-oriented flavors, while others, like Rust, spice things up with bold new ingredients like ownership and borrowing. In this post, we’ll compare the “syntax recipes” for common constructs in C# and Rust, highlighting the delicious differences and similarities along the way.
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When it comes to programming languages, each has its quirks, strengths, and unique ways of looking at the world. Think of them as different superheroes with distinct powers. C# is your reliable, well-rounded champion of object-oriented programming (OOP), while Rust is the fearless defender of memory safety and performance. So, how do these two stack up when it comes to their paradigms? Let’s find out!
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