Rust vs. C++: 5 Reasons Why Rust Is Better for Programmers

Contents:

• Advantages of Rust: Library Order
• Tools for Working with Rust
• Conclusion: Is It Worth Switching to Rust?
• The Type System in Rust: Error Protection and Increasing Reliability
• Comparison of Rust and C++ Program Performance: Myths and Reality
• The Efficiency of Rust-Analyzer When Working with Templates
• Advantages of Rust: True Zero-Cost Abstraction
• Rust Syntax: Conciseness and Necessity Addiction
• Rust: Not a Universal Solution for All Problems

After many years of working with C++, I encountered issues that regularly cropped up during code reviews. Developers often create static lambdas that capture temporary objects by reference. These errors don't show up during testing, but in production, when the code is executed only a few times, they can lead to crashes. That's why I decided to learn the Rust programming language, which offers safer memory management mechanisms and prevents such errors at compile time. Rust provides stronger typing and resource management, which helps create reliable and performant code.

Rust Benefits: Library Organization

One of the key problems in the C++ programming language remains the insufficient qualification of developers and the lack of effective package managers. Previously, programmers had to spend a lot of time searching, downloading, and compiling libraries, which often caused significant difficulties and slowed down the development process. Improvements in the situation with package managers could significantly ease the work of developers, making the process of integrating libraries faster and more convenient. This, in turn, would contribute to higher software quality and reduce the likelihood of errors associated with improper environment configuration.

Situations often arise when the source code is available, but the compiler is not suitable. This may be due to an outdated compiler version or a mismatch in dependency versions. In such cases, instead of using a ready-made solution, you have to develop your own code, which usually leads to new errors.

In my work, I observed implementations of std::optional that did not call the destructor for non-trivial types. At the same time, the standard implementation was overloaded with auxiliary code, which significantly complicated debugging, even for a small team of developers. It is important to consider that proper resource management and correct memory deallocation are critical for the stability and reliability of applications.

Creating code without errors and chaos is an important task for developers. In some cases, despite the presence of tests, deadlocks and use-after-free errors may occur during more thorough testing. The Rust programming language offers a solution, allowing you to delegate some responsibility for code safety to the compiler. However, it should be noted that Rust's strict type system requires a careful and thoughtful approach from developers. This ensures high application reliability and security, which is especially important in modern development.

Tools for working with Rust

Working with Rust didn't require me to change my integrated development environment (IDE). I simply installed the rust-analyzer plugin for VS Code, which provides functionality similar to Microsoft IntelliSense. At my previous place of work, I used CLion from JetBrains, which also has a good plugin for Rust. However, this plugin sometimes produced unexpected results when refactoring, which taught me to be careful with automated code changes.

Conclusion: Is it worth switching to Rust?

Rust provides developers An effective solution to many problems common to C++. With strong typing and improved memory management, the language significantly reduces the likelihood of errors and improves code quality. If you're looking for a way to reduce bugs and focus on creating functional and reliable software, Rust is an excellent choice for your project.

The Type System in Rust: Error Protection and Increased Reliability

Rust is a programming language that is ideal for developing business logic thanks to its strong type system, which significantly reduces the likelihood of errors. At our previous place of work, we developed a plugin as a proof of concept, demonstrating Rust's capabilities for creating extensions for complex SDKs. The plugin performed a simple but important task: it accepted a list of words and checked whether the input text matched these words. Using Rust in such projects can improve the performance and security of applications, making it an excellent choice for developers striving for code quality and reliability.

We chose this project based on the shortage of specialists proficient in Rust on our team. Rust is still under active development, and many companies have not yet integrated it into their processes. Due to this, creating projects that require the support of only one developer becomes economically impractical. Thus, despite the many advantages of Rust, the C++ language continues to maintain its high demand in the industry.

At my new job, I'm migrating part of a project from C++ to Rust. I'm impressed by Rust's powerful type system, which allows for clear expression of object lifetime dependencies. Languages ​​with more complex type systems, such as languages ​​with dependent types, can perform static constraint checking. For example, the compiler can prevent functions from accepting empty strings by checking at compile time. This significantly improves code reliability and avoids common errors, making Rust an excellent choice for developing high-quality software.

Powerful programming languages ​​often have their drawbacks, one of which is the need for developers to convincingly demonstrate the correctness of their code to the compiler. But Rust offers an optimal solution: its strong type system effectively protects against common errors without adding complexity to the programming process. This makes Rust an attractive choice for developers seeking safe and efficient code without unnecessary complexity.

Comparing Rust and C++ Program Performance: Myths and Reality

Recent research confirms that programs written in Rust without using unsafe code demonstrate high performance. In a practical experiment, I rewrote a complex graph algorithm using only standard Rust containers. The results showed that the performance was only 10% slower than that of a comparable solution implemented in C++. This underscores the effectiveness of Rust as a programming language for developing high-performance applications, especially in cases where code safety and reliability are critical.

This result is particularly noteworthy because it does not use third-party libraries. While working with C++, I spent three months searching for a suitable hashmap implementation, which involved considering numerous options, each with its own drawbacks, from alignment issues to legacy solutions. Switching to Rust significantly sped up the development process and minimized the risk of potential errors. Rust offers powerful tools and functionality that help create reliable and performant applications without relying on third-party solutions.

Programming language performance is not an absolute concept. Benchmarks can often be tuned to favor one language over another. For example, you can write Rust code that minimizes memory allocations, while a similar solution in C++ may include them due to the specifics of memory management in that language. To accurately compare performance, it is important to analyze specific examples and consider all the nuances associated with the implementation and architecture of each language. This allows for a more objective understanding of the real-world capabilities of programming languages.

For a deeper understanding of the performance of Rust and C++, it is worth studying specialized resources, such as the Rust Performance Book. This resource offers real-world examples and optimization tips to help you better appreciate the strengths and weaknesses of both programming languages. Understanding the performance characteristics of Rust and C++ can significantly improve software development efficiency and code quality.

The Effectiveness of rust-analyzer for Working with Templates

Recent studies confirm that using rust-analyzer significantly simplifies the development process, especially when working with unsafe C libraries. While C++ may seem faster to write, Rust requires a more careful approach, especially when wrapping C APIs in safe Rust structures. This process can take some time, but the resulting code is reliable and safe, making it well worth the effort. Rust-analyzer is becoming an indispensable tool, allowing developers to effectively handle tasks and minimize errors, which ultimately improves software quality.

When wrapping low-level unsafe code in safe Rust code, it is necessary to consider the peculiarities of the type system, including reference variance and type contravariance. Ignoring these nuances can lead to the creation of incorrect safe wrappers, which, in turn, can cause serious errors in the program's functioning. A proper understanding of typical concepts in Rust allows developers to create more reliable and secure applications, minimizing the risks associated with using unsafe code.

IntelliSense in programming languages ​​such as C++ continues to evolve, but rust-analyzer offers more advanced code analysis tools, especially for working with templates. With the release of the C++20 standard, IntelliSense's handling of template code is expected to improve, especially with the implementation of concepts in parameters. Nevertheless, rust-analyzer's capabilities in this area are already significantly ahead of similar tools for C++, providing deeper analysis and development support.

Rust allows developers to work faster and more efficiently with repetitive code, which significantly reduces the time spent writing and debugging templates. This makes the language especially attractive to developers looking to optimize their workflow. Additionally, JetBrains appears to be actively integrating new features into their IDEs, which could improve the experience with templates in C++. These changes could improve productivity and the C++ experience, which is also worth considering when choosing a programming language for projects.

Rust Advantages: True Zero-Cost Abstraction

When choosing a new programming language, I explored various options. Three years ago, after changing jobs, I considered moving to the JVM ecosystem and developing in Kotlin. However, languages ​​like Scala, Java, and Kotlin have their limitations and are not always suitable for embedded software development. Virtual machines add additional overhead, making these languages ​​less efficient for microcomputers. In such cases, C and C++ are preferred, as are standards such as MISRA C, which ensure optimal performance and reliability for embedded systems.

Rust stands out among programming languages ​​due to its ability to compile to native code without the need for an additional runtime. It borrows the concepts of RAII, destructors, and constructors from C++, but offers unique features. Unlike C++, where destructors can be complex and limit value transfer through registers, Rust provides linear types and a true zero-cost abstraction. These characteristics make Rust an ideal choice for developing high-performance applications where safety and memory management are important.

When comparing Rust to other programming languages, Zig is worth noting. It has similar features, such as lifetime checking, but the implementation of this mechanism in Rust is more intuitive. In other languages ​​that use automatic garbage collection, such a check is irrelevant, since the existence of a reference to an object automatically ensures its "liveness." Rust, with its strict memory management system, offers developers unique opportunities to write safe and efficient code.

I also studied the Go programming language, which provides a garbage-collected memory management mechanism. Four years ago, I was recommended to switch to Go, and I decided to give it a try. However, I encountered difficulties due to the implicit placement of semicolons, which caused problems with autoformatting and sometimes led to compilation errors. This aspect of the syntax became a significant obstacle for me in learning Go.

When implementing a third-party formatter for C++, for example, Uncrustify, a situation arose where it removed unnecessary curly braces. This unexpectedly increased the size of critical sections in the code, demonstrating how even a simple formatting tool can significantly affect the behavior of a program. In some cases, such changes can be critical and may require the complete removal of certain sections of code. Therefore, it is important to thoroughly test the software after applying any formatting tools to avoid unwanted consequences.

Rust Syntax: Conciseness and the Need for Getting Used to

The syntax of the Rust programming language can seem complex for novice users, especially at the initial stages of learning. However, over time, many developers begin to note its conciseness and high efficiency. Rust offers unique opportunities for creating safe and performant code, making it attractive to development professionals. By gradually mastering the syntax and features of the language, developers can significantly improve the quality of their projects and increase their productivity.

One of the key features of the Rust programming language is the presence of the semicolon ‘’ character at the end of expressions. This can be confusing for developers, especially those with experience in other languages ​​such as C, where the absence of a semicolon changes the function's return type to the similar void type. Forgetting a semicolon in Rust will cause the program to fail to compile, and the compiler will start throwing errors. It's worth noting that Rust's type analyzer actively uses CPU resources to detect type inconsistencies, which helps maintain high code reliability and safety.

The Rust ecosystem has improved significantly in recent years, which is great news for developers. The inclusion of an official formatter in the standard language toolchain helps maintain a consistent code style, which simplifies teamwork and improves software quality. However, there are some drawbacks. For example, more complex package management tasks, such as organizing compiled artifacts into directories, may require developing additional Bash scripts. This is because standard tools can sometimes be unstable or inefficient. Therefore, it is important to consider potential limitations and select the optimal tools for specific tasks in the Rust ecosystem.

I am accustomed to concise syntax and using short keywords, but I believe that they should contain at least three characters. For example, I often use ‘fn’ to name variables, even though it is a keyword in Rust. However, minimalist syntax has its advantages, such as simplifying code and improving its readability. It is important to find a balance between conciseness and clarity to ensure that code remains understandable both for the author and other developers.

One of the convenient features of Rust is the ability to create lambda functions without explicitly using the return keyword. This saves a lot of time, especially for developers accustomed to C++. In C++, errors often arise when programmers forget to include a return statement, which can lead to undefined behavior in functions. Lambda functions in C++ have syntax similar to regular functions, but they require parentheses and the return keyword; otherwise, the function may not return the expected value. Using Rust avoids these problems, simplifying the process of writing code and increasing its readability.

Rust: Not a Universal Solution for All Problems

For those new to the Rust programming language, it is important to realize that it is not a universal solution for all problems related to C++. While Rust offers data race protection through a borrow checker, it does not prevent deadlocks. It is also worth noting that use-after-free safety is provided only in a safe subset of Rust. When using unsafe code, developers may encounter similar issues as in C++, although Rust offers a more modern and advanced standard library. Wise use of Rust's features can significantly improve the quality and safety of your code, but it's important to be aware of its limitations and quirks.

The situation with Rust's use in software development remains complex. Many key features, including driver and firmware development, are still not fully stable in this language. This poses certain risks for serious projects where reliability and security are paramount. As a result, many developers prefer C++, which offers more stable and proven solutions, making it a more attractive choice for large-scale and mission-critical applications.