Rust's concurrency: channels vs mutexes for shared data

Looking at Tiobe index, Rust is sinking. Again. It was 12 last month, now it is 16. I think this happens due to the following: Rust has steep learning curve. Rust deprives the programmer out of control. The programmer constantly fights the compiler. The compiler is smarter than the programmer, but the latter does not know that, because they lack basic knowledge. The code, written in Rust, is non-flexible. All these things evoke a desire in me to make my own prediction (we love talking about the future, right): With time passing, all Rust fanboys and fangirls, who have desire to learn and develop themselves, will move away from Rust towards C, C++ or another language, which allows them more control. Of course, there will be masters in Rust, who prefer to use it, but because they don't want to control. And I expect Rust to sink even more on Tiobe. What do you think?

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⚙️ Most engineers think Rust's borrow checker is a compiler that says "no." I used to fight it too — until I realized it's not blocking me, it's showing me the bugs I was about to ship. Here's the shift: the borrow checker isn't enforcing rules for the sake of rules. It's encoding ownership semantics that prevent data races, use-after-free, and double-free bugs at compile time — issues that would silently corrupt memory in C/C++ or require garbage collection overhead in Go. What people misunderstand is thinking it's about "fighting the compiler." It's actually about designing systems where invalid states are impossible to represent. When you can't compile code that aliases mutable state across threads, you're not restricted — you're freed from an entire class of concurrency bugs that plague production systems. The real insight? Rust doesn't add safety on top of performance. It reveals that safety and performance were never opposites — just poorly separated in older languages. The borrow checker is teaching you to think in ownership graphs, not just control flow. Once you internalize that model, you start designing APIs and abstractions differently — not just in Rust, but everywhere. 💭 If your language lets you write unsafe code easily, is it really giving you freedom — or just deferring the cost to 3am outages? #RustLang #SystemsProgramming #MemorySafety #CloudNative #SoftwareEngineering #CompilerDesign #DeveloperExperience

Why Rust Feels “Crazy as F*ck” in System Programming Ever wonder why developers keep saying Rust is the future of performance? It’s not hype — it’s architecture. Rust is built differently, giving you C-level speed with modern-day safety and developer confidence. Here’s why 👇 1. Ownership System — No Garbage Collector, No Leaks Rust doesn’t rely on a garbage collector like Go or Node. Instead, it uses a unique ownership and borrowing model that frees memory automatically — at compile time. No leaks. No dangling pointers. No runtime cleanup. Memory is handled predictably and efficiently. 2. Zero-Cost Abstractions Rust gives you high-level features like traits, generics, and iterators, but compiles them down to pure machine-level instructions. You get readable, expressive code that runs as fast as hand-written C. No abstraction penalty — just clean, optimized performance. 3. Fearless Concurrency Rust’s concurrency model prevents data races before your code even compiles. The compiler enforces thread safety, so you can write multi-threaded systems without fear of race conditions or shared state bugs. That’s why Rust powers blockchain nodes, browsers, and servers handling millions of parallel tasks safely. 4.Low-Level Control When You Need It Rust gives you full access to system memory and even allows inline assembly when necessary — but with guardrails that keep you from shooting yourself in the foot. It’s powerful enough for operating systems, WebAssembly, and crypto, yet elegant enough for web APIs and game engines. 5. Compile-Time Safety = Runtime Confidence Rust’s compiler is famously strict. It catches: • Null pointer errors • Race conditions • Type mismatches • Uninitialized variables If your code compiles, it’s already passed through some of the most rigorous checks in the industry. That’s why devs say: “If it compiles, it runs.” TL;DR — Rust Is Not Just Fast. It’s Smart Fast. Ownership = no GC, no leaks Zero-cost abstraction = high-level feel, low-level speed Fearless concurrency = parallel safety Compile-time strictness = runtime confidence “Rust doesn’t just run fast — it forces you to write fast, safe code. Ownership, zero-cost abstraction, fearless concurrency — that’s the real madness

🔥 Rust vs Go: The Cold War of Modern Systems Programming Okay, buckle up. This post might start a war on your LinkedIn feed. But let’s be honest — someone has to say it. 😏 🦀 Why Rust Eats Go for Breakfast 1️⃣ Performance with a capital P. Rust is C-level fast without the memory safety nightmares. No GC pauses, no surprises mid-runtime. You write it once, it flies forever. 2️⃣ Memory Safety ≠ Garbage Collector. Go says: “Trust the garbage collector.” Rust says: “I am the garbage collector.” The borrow checker hurts at first, but it’s like gym pain — worth it in the long run. 3️⃣ Zero-cost abstractions. Rust gives you high-level features without runtime cost. Go gives you simplicity — and then hides complexity behind allocations and reflection. 4️⃣ Community pushing boundaries. Want embedded? WebAssembly? Game dev? OS kernels? Rust is everywhere. Go is still trying to figure out why “generics” took a decade. 5️⃣ Concurrency done right. Sure, Go has goroutines. But Rust gives you fearless concurrency — memory safety guaranteed at compile-time. You don’t pray; you prove. 🐹 But Go has its charms... Yes, Go is simple. Yes, the tooling is great. If you’re building CRUD microservices for the 100th time — Go’s your friend. If you’re building the future of software — Rust’s your weapon. ⚔️ 💬 Your turn: Which side are you on? Team 🦀 or Team 🐹? Let’s settle this — respectfully... or not.

🦀 Rust — The Language That’s Redefining Modern Programming In a world where performance and safety often feel like a trade-off, Rust proves you can have both. Built from the ground up for speed, reliability, and memory safety, Rust isn’t just another programming language — it’s a revolution in how we write software. 🔥 Why Rust stands out: Zero-cost abstractions — high-level code with low-level control. Memory safety — without garbage collection. Fearless concurrency — no data races, no undefined behavior. Incredible performance — on par with C and C++. A strict yet friendly compiler — that teaches you better coding discipline. Rust’s ownership model forces you to think deeply about how data moves and lives within your program. It’s not easy at first — but it fundamentally changes how you reason about code, turning safety into second nature. From system programming and WebAssembly to embedded devices, game engines, and cloud infrastructure, Rust is quietly becoming the backbone of performance-critical software. It’s not just a language — it’s a mindset built around safety, concurrency, and control. The more you learn Rust, the more you realize it’s not about syntax — it’s about trust. Trust in your code. Trust in your compiler. Trust in performance without compromise. 🦀 Rust isn’t the future — it’s already here. #RustLang #Programming #SystemsProgramming #SoftwareEngineering #TechInnovation #OpenSource #DeveloperCommunity

 𝗞𝗼𝘁𝗹𝗶𝗻 𝟮.𝟮.𝟮𝟬 — 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗙𝗶𝗻𝗮𝗹𝗹𝘆 𝗨𝘀𝗲 𝗿𝗲𝘁𝘂𝗿𝗻 𝗶𝗻 𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻 𝗕𝗼𝗱𝗶𝗲𝘀! 🎉 Ever tried mixing a return statement with an expression body in Kotlin… and got hit with a compiler error? 😅 That’s finally changed in 𝗞𝗼𝘁𝗹𝗶𝗻 𝟮.𝟮.𝟮𝟬! You can now use return inside expression bodies — as long as you explicitly specify the return type. 🧠 𝘽𝙚𝙛𝙤𝙧𝙚 (𝙉𝙤𝙩 𝘼𝙡𝙡𝙤𝙬𝙚𝙙 ❌) 𝚏𝚞𝚗 𝚐𝚎𝚝𝙳𝚒𝚜𝚌𝚘𝚞𝚗𝚝(𝚙𝚛𝚒𝚌𝚎: 𝙸𝚗𝚝) = 𝚒𝚏 (𝚙𝚛𝚒𝚌𝚎 > 𝟷𝟶𝟶𝟶) 𝚛𝚎𝚝𝚞𝚛𝚗 "𝙿𝚛𝚎𝚖𝚒𝚞𝚖 𝙳𝚒𝚜𝚌𝚘𝚞𝚗𝚝" 𝚎𝚕𝚜𝚎 "𝚂𝚝𝚊𝚗𝚍𝚊𝚛𝚍 𝙳𝚒𝚜𝚌𝚘𝚞𝚗𝚝" // ❌ 𝙴𝚛𝚛𝚘𝚛 𝚋𝚎𝚏𝚘𝚛𝚎 𝙺𝚘𝚝𝚕𝚒𝚗 𝟸.𝟸.𝟸𝟶 ✅ 𝗔𝗳𝘁𝗲𝗿 (𝗡𝗼𝘄 𝗪𝗼𝗿𝗸𝘀 𝗣𝗲𝗿𝗳𝗲𝗰𝘁𝗹𝘆 𝚏𝚞𝚗 𝚐𝚎𝚝𝙳𝚒𝚜𝚌𝚘𝚞𝚗𝚝(𝚙𝚛𝚒𝚌𝚎: 𝙸𝚗𝚝): 𝚂𝚝𝚛𝚒𝚗𝚐 = 𝚛𝚎𝚝𝚞𝚛𝚗 𝚒𝚏 (𝚙𝚛𝚒𝚌𝚎 > 𝟷𝟶𝟶𝟶) "𝙿𝚛𝚎𝚖𝚒𝚞𝚖 𝙳𝚒𝚜𝚌𝚘𝚞𝚗𝚝" 𝚎𝚕𝚜𝚎 "𝚂𝚝𝚊𝚗𝚍𝚊𝚛𝚍 𝙳𝚒𝚜𝚌𝚘𝚞𝚗𝚝" No more switching between expression and block syntax just because of a simple return. Now you get clarity + brevity — the best of both worlds. 🌍 ✨ 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: • Cleaner one-liners with logic branching • Easier refactoring between block and expression function. • Less boilerplate when writing conditional returns Sometimes, it’s the smallest language improvements that make the biggest difference in daily coding flow. 💪

It's early morning and You are scrolling Linkedin posts? 𝗖𝗼𝗺𝗲 𝗶𝗻 and check my new series for 𝗖++ 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 who are interested in the new, upcomming big wave in embeeded world - 𝗰𝗮𝗹𝗹𝗲𝗱 𝗥𝘂𝘀𝘁 🦀 𝗙𝗿𝗼𝗺 𝘀𝘁𝗱::𝘂𝗻𝗶𝗾𝘂𝗲_𝗽𝘁𝗿 𝘁𝗼 𝗕𝗼𝘅<𝗧> — 𝘁𝗵𝗲 𝗥𝘂𝘀𝘁 𝘄𝗮𝘆 𝗼𝗳 𝘀𝗮𝗳𝗲 𝗼𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽 As a C++ embedded developer, you’ve probably used 𝘀𝘁𝗱::𝘂𝗻𝗶𝗾𝘂𝗲_𝗽𝘁𝗿 countless times to manage dynamic memory safely. But here’s the thing: - In 𝗥𝘂𝘀𝘁, safety isn’t something you add — it’s 𝗯𝘂𝗶𝗹𝘁 𝗶𝗻. In my latest blog post, I explain how 𝗥𝘂𝘀𝘁’𝘀 𝗕𝗼𝘅<𝗧> compares to 𝘀𝘁𝗱::𝘂𝗻𝗶𝗾𝘂𝗲_𝗽𝘁𝗿<𝗧>. You’ll learn: • How 𝗕𝗼𝘅<𝗧> achieves 𝘂𝗻𝗶𝗾𝘂𝗲 𝗼𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽 without null pointers • Why 𝗺𝗲𝗺𝗼𝗿𝘆 𝗹𝗲𝗮𝗸𝘀 and 𝗻𝘂𝗹𝗹𝗽𝘁𝗿 𝗰𝗵𝗲𝗰𝗸𝘀 simply 𝗮𝗿𝗲 𝗻𝗼 𝗹𝗼𝗻𝗴 𝘁𝗵𝗲 𝗶𝘀𝘀𝘂𝗲𝘀 • How Rust replaces “trust the developer” with “trust the compiler” 𝗧𝗟;𝗗𝗥: 𝘀𝘁𝗱::𝘂𝗻𝗶𝗾𝘂𝗲_𝗽𝘁𝗿<𝗧> -> 𝗕𝗼𝘅<𝗧> 𝗱𝗼𝗻𝗲 𝗿𝗶𝗴𝗵𝘁 If you’ve ever wondered how Rust can bring 𝘀𝗮𝗳𝗲𝗿, 𝗰𝗹𝗲𝗮𝗻𝗲𝗿, 𝗮𝗻𝗱 𝗳𝗮𝘀𝘁𝗲𝗿 𝗰𝗼𝗱𝗲 to your embedded projects — this one’s for you. 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗽𝗼𝘀𝘁 𝘄𝗶𝘁𝗵 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀 𝗵𝗲𝗿𝗲: - https://lnkd.in/da-aysBZ What’s your biggest challenge when thinking about switching from C++ to Rust? Do You also believe 𝗥𝘂𝘀𝘁 will have major sharehold in embeeded programming, especially in safety critical projects, in next five years? #Rust #Cplusplus #EmbeddedSystems #MemorySafety #RustLang #SoftwareEngineering #Programming

Rust is gaining momentum in the embedded world - definitely worth keeping an eye on! Check out Paweł Rutka’s post for more insights.

⚙️ "The first time Rust yelled at me, I thought it hated me." I remember writing what looked like perfect code — clean, elegant, and efficient. Then came the infamous borrow checker: red lines everywhere, cryptic errors about ownership and lifetimes. I almost gave up. But here’s what clicked one day — Rust wasn’t fighting me, it was teaching me to think differently about memory. Ownership isn’t a compiler rule. It’s a philosophy. It forces you to confront who owns data, when it’s borrowed, and when it should die. No garbage collector, no hidden runtime — just explicit, predictable control. In C or C++, memory bugs hide in shadows. In Rust, the compiler shines a flashlight on every dark corner before your code even runs. Once you get it, ownership feels less like restriction and more like discipline that leads to freedom. You start writing systems that are not only fast — but trustworthy. The funny part? That first angry compiler error was actually the sound of Rust saying, “Don’t worry. I’ll make sure you never segfault again.” What was your “aha” moment when the ownership model finally made sense? #RustLang #CloudNative #SystemProgramming #MemorySafety #SecurityEngineering