My First Month (or so) With Rust

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  • lambda-lang

    Rust implementation of the lambda language (

  • I know that I should pick a simple topic to get me started when learning a new language, but I can’t control my desire to create things. I don’t like to create build-and-throw-away things, either. They should be useful things (at least to me)! So, to learn Rust I started building an interpreter following’s tutorial.

  • Clippy

    A bunch of lints to catch common mistakes and improve your Rust code. Book:

  • I just found out 📎 Clippy, which I think is kinda like👮‍♂️ Rubocop for Rust, so I hope it will help me to write better Rust code.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • book

    The Rust Programming Language

  • As I didn’t have much time to actually code Rust, I spent a lot of time reading about it. Regarding this, Rust is the language with best learning tools I’ve seen to this day! Not only it has a book (The Book, I must say 😅) that guides you in the first steps to know the language and its unique features, but Rust also has a Learn by Example book!

  • crystal

    The Crystal Programming Language

  • I’ll also make a post comparing Rust with Crystal showing my experience with both languages.

  • bevy

    A refreshingly simple data-driven game engine built in Rust

  • I plan to keep writing my interpreter in Rust to learn more about this language. One thing I didn’t explore yet is testing. Since I’m a big fan of TDD I hope Rust has a good test support. I have an interest in digging a bit in game development with the Bevy game engine.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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