Aditya Gupta

Rust allows you to execute system commands through the std::process::Command API. You can spawn external programs, pass arguments, capture output, and handle errors, all using safe and structured code. One of the first CLI utilities I built in Rust needed to call an external tool installed on the system. I was worried it would require […]

Rust provides powerful and safe file input/output through the std::fs module. You can read from and write to files, create directories, iterate through folder contents, and handle file system errors, all with strong type safety and predictable behavior. When I first started working with files in Rust, I was surprised at how ergonomic and safe

The clap crate lets you build powerful, user-friendly command-line interfaces in Rust. You can define commands, arguments, flags, and help messages with minimal code. It supports auto-generated help, validation, and even subcommands, all following common CLI conventions. When I built my first Rust CLI, I manually used std::env::args, which worked for small tools but quickly

Cargo is Rust’s official package manager and build tool. It handles compiling your code, managing dependencies, running tests, generating docs, formatting code, and more. Learning a few advanced Cargo commands and features can make your development process smoother and more efficient. When I began working on larger Rust projects, I realized how powerful Cargo really

Rust provides structured logging through the log crate, a lightweight and flexible facade for application-wide logging. By pairing it with implementations like env_logger, you can log messages at different levels (error, warn, info, debug, trace) without needing to write custom logging systems. As my projects grew, using println! for debugging became unmanageable. I needed a

Integration testing in Rust involves placing test files in a dedicated tests/ directory outside your main code. These tests interact with your library or binary the way an external user would, and they are compiled as separate crates, giving you full isolation for end-to-end behaviour validation. After getting comfortable with unit testing, I needed a

Rust has built-in support for writing unit tests using the #[test] attribute. You can write test functions inside a special tests module, use assertion macros like assert_eq!, and run your tests with cargo test. Testing is part of the standard development flow in Rust, not an afterthought. When I started writing Rust seriously, I was

Rust provides powerful combinator methods like map, and_then, unwrap_or, and others to simplify how you work with Option and Result. These methods let you transform values, chain operations, and provide fallbacks, without writing repetitive match blocks. At first, I handled Option and Result types using match statements everywhere. That worked, but it quickly became repetitive

Rust encourages explicit error handling using custom error types. You can create your own error enums and implement the standard Error trait to integrate cleanly with Rust’s built-in error handling ecosystem. This helps produce descriptive, meaningful errors that are easy to handle and debug. When I first moved beyond using Rust’s built-in errors, I needed

Rust provides powerful built-in collections like HashSet and BTreeMap for managing unique items and sorted key-value pairs. These types are part of the std::collections module and are commonly used in real-world Rust applications where performance, uniqueness, and order matter. After learning the basic collections like Vec and HashMap, I wanted to explore more specialized tools.