Balancing Speed, Safety, and Complexity in Low-Level Development and Systems Programming

Explore the complete series through the links below:

• Design Philosophies (we are here)
• Memory Management
• Concurrency Mechanisms
• Error Handling
• Developer Experience, Portability, Benchmarks and Adoption
• My Choice

In this part, we will focus on the design philosophy of each programming language.

---

Introduction

For my future low-level and systems programming projects, including embedded programming, programming languages, compilers, and interpreters, I need to evaluate whether I should continue using C and C++ or if modern alternatives like Rust or Zig offer better trade-offs for low-level development.

Like many developers, I have studied numerous articles and research papers on Rust, recognizing its strong safety guarantees and performance benefits. However, its steep learning curve and over-engineered features have sparked debates within the developer community. At the same time, the rise of Bun as an alternative to Node.js—built on top of Zig—raises the question of whether Zig could become a viable replacement for C and C++. But Zig remains a young language, and it still relies on manual memory management, which presents its own challenges.

To make an informed decision about my future in low-level development, I decided to conduct this study. Should I modernize my C and C++ knowledge to stay aligned with industry standards, or is it time to adopt Rust or Zig? In this study, I will explore the key strengths and trade-offs of each language, balancing performance, safety, ecosystem, and developer experience to determine the best path forward.

I firmly believe that a well-designed programming language should strike a balance between performance and developer experience, without compromising one for the other.

---

Design Philosophies

C

I am fond of the C programming language and Linux operating system, as well as Dennis Ritchie. C is a great language because it is simple, has few concepts to learn, offers freedom (trust-the-programmer approach), and has low-level power to efficiently communicate with hardware.

But this power comes with some trade-offs: very little abstraction, no built-in safety guarantees, and lack of runtime checks that necessitate a good level of software knowledge.

C’s design is ideal for low-level programming due to its direct access to memory and hardware. By design, C can be used as a high-level assembler, enabling code that is very close to machine-specific operations.

Features such as pointers, manual memory allocation (malloc/free), pointer arithmetic, and bitwise operators provide precise control over how data is stored and handled.

Due to its minimal runtime (without a virtual machine) and efficient compiled code, early operating systems such as Unix, and later Windows and Linux, were written largely in C. The use of C for close-to-hardware control has been the norm for device drivers, embedded system firmware, and high-performance libraries.

One reason is that performance and predictability are critical in system programming, and C delivers exactly that.

In essence, the main characteristics of C language are:

• Compiled & No Virtual Machine.
• Simplicity.
• Trust-the-Programmer Philosophy.
• Low-Level Power & Direct Hardware Access.
• Performance & Predictability.
• Manual Memory Management.
• Minimal Abstractions.
• Portability & Ubiquity.

And the main issues are:

• No Built-in Safety Guarantees.
• No Built-in Concurrency Mechanisms.
• No Standardized Exception Handling.
• Verbose Code for Complex Tasks.

C++

Bjarne Stroustrup created C++ as an extension to C (“C with Classes”) in the 1980s, aimed at enhancing C’s efficiency by including higher-level programming features (such as object-oriented programming and templates). One of the hallmark goals of C++ is the concept of zero-cost abstractions.

What you don’t use, you don’t pay for. And what you do use, you couldn’t hand-code any better. Bjarne Stroustrup

The ‘zero-overhead principle‘ means that high-level constructs in C++ (such as classes, templates, operator overloading, etc.) are designed to incur no extra runtime cost compared to an equivalent low-level C implementation.

C++ runs directly on the CPU, just like C. The presence of some runtime features (RTTI, exceptions, standard library) does not mean it has a VM. The compiled binary is self-contained and executes natively without requiring a special runtime environment like Java’s JVM or .NET’s CLR.

C++ aims to balance low-level and high-level programming in one language while also maintaining compatibility with C and early C++ versions, which is why many legacy features and corner cases remain. This has made the language itself quite large and intricate.

Furthermore, C++’s complexity is often criticized as being harder to learn than simpler languages, and code can become difficult to maintain if too many features are used in a single code.

Moreover, C++ inherits C’s manual memory management and undefined behaviors, so ignoring safer features like smart pointers or bounds-checked containers and using raw pointers incorrectly can still cause memory corruption.

In addition, compilation times can be long, as a side effect of heavy template use and large header files. C++ is also criticized for trying too much and being too multi-paradigm, with too much baggage from all paradigms.

Some operating system developers choose not to use C++ in certain low-level projects because features such as exceptions or runtime type information can introduce unpredictability or hidden overhead.

In essence, the main characteristics of C++ language are:

• Compiled, No Virtual Machine.
• Zero-Cost Abstractions.
• Multi-Paradigm Design.
• High-Performance & Low-Level Control.
• Rich Standard Library.
• Compatibility with C.
• Manual and Smart Memory Management.

And the main issues are:

• Complexity & Learning Curve.
• Long Compilation Times.
• Memory Management Risks.
• Feature Bloat & Multi-Paradigm Overload.
• Runtime Features Not Always Desired.

Rust

Rust, originally developed by Mozilla in 2015, was created with the intention of being a secure system programming language. The design philosophy is to provide memory safety (memory safety by design) and fearless concurrency without a garbage collector, making it an alternative to C/C++ that catches errors at compile time.

Rust ensures at compile time, through its unique ownership model and the concept of borrowing, that many classes of errors are impossible. For example, buffer overflows, use-after-free, double frees, and data races in multithreading are all caught by Rust’s compiler checks.

The absence of GC means Rust can be used in low-level contexts (operating system components, embedded devices) where GC pauses or runtime overhead would be unacceptable. A notable milestone is its inclusion in the Linux kernel: the Linux kernel project decided to officially allow Rust for new code, and by the end of 2024 an estimated 15% of new Linux kernel modules were being developed in Rust.

Compile-time checks in Rust, while enhancing software accuracy, also affect the developer experience. Some new developers to Rust encounter a learning curve as they adapt to thinking about lifetimes and ownership (“fighting the borrow checker“).

Rust is a multi-paradigm programming language that integrates concepts from procedural, functional, and object-oriented programming while maintaining performance and safety. Again, the multi-paradigm trap negatively affects the learning curve.

In essence, the main characteristics of Rust language are:

• Memory Safety Without Garbage Collection.
• Fearless Concurrency.
• No Runtime or Garbage Collector.
• Multi-Paradigm.
• Compile-Time Error Prevention.
• Growing Ecosystem & Industry Adoption.

And the main issues are:

• Steep Learning Curve.
• Compilation Overhead.
• Multi-Paradigm Complexity.
• Smaller Ecosystem than C/C++.

Zig

Zig, introduced in 2016 by Andrew Kelley, is a modern systems programming language that prioritizes simplicity, predictability, and control while avoiding unnecessary complexity. It is designed to be a cleaner, safer alternative to C, removing hidden behaviors and providing explicit control over system resources. I love this way of thinking!

In addition, Zig has a small set of core features, eliminating unnecessary abstractions. It avoids hidden control flow, implicit constructors, and complex object hierarchies, ensuring clear, readable code.

Furthermore, Zig, like C, does not use garbage collection. Memory allocation and deallocation are fully controlled by the programmer, with Zig’s allocator interfaces improving safety and ergonomics.

Moreover, Zig uses error unions and explicit error returns instead of exceptions, which offers a simpler and more predictable model than C++ exceptions or Rust’s panic handling.

Another interesting feature of Zig is that it allows compile-time code execution (comptime), enabling type manipulation and code generation without requiring macros or templates.

Zig’s versatility in importing C headers and executing C functions without wrappers makes it an ideal choice for integrating with existing C codebases. The Zig compiler can also be used as a C compiler. In addition, Zig’s tooling provides seamless cross-compilation, simplifying multi-platform development compared to traditional C/C++ build systems.

However, these promising features do not come without a trade-off. Unlike Rust, Zig does not enforce strict memory safety rules, leaving responsibility to the programmer.

Compared to C/C++ or Rust, Zig’s library ecosystem is still growing, requiring reliance on C libraries for many use cases. Zig is not yet at version 1.0, meaning breaking changes can still occur as the language stabilizes.

In essence, the main characteristics of Zig language are:

• Minimalistic & Predictable.
• Manual Memory Management.
• Error Handling Without Exceptions.
• Comptime.
• Strong C Interoperability.
• Built-In Cross-Compilation.

And the main issues are:

• Manual Memory Management Risks.
• No Garbage Collector, No Safety Guarantees.
• Limited Ecosystem.
• New & Evolving Language.

---

Conclusion

C, C++, Rust, and Zig take distinct approaches to performance, safety, and developer control:

• C is minimalistic, fast, and widely used, but lacks built-in safety.
• C++ extends C with powerful abstractions but introduces complexity and longer compilation times.
• Rust prioritizes memory safety and concurrency correctness without a garbage collector, at the cost of a steep learning curve.
• Zig emphasizes simplicity, explicit control, and strong C interoperability but lacks built-in safety guarantees and a mature ecosystem.

A key divergence is implicit vs. explicit safety: Rust enforces correctness at compile time, while C, C++, and Zig provide freedom at the cost of responsibility. This distinction is most apparent in memory management, where Rust strictly controls ownership, C and Zig rely on manual allocation, and C++ offers a mix of manual and automated options.

In the upcoming article, we will examine how these design choices affect memory allocation strategies, safety mechanisms, and performance trade-offs.