Submission declined on 1 September 2025 by Pythoncoder (talk).
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|  |
Comment: In accordance with Wikipedia's Conflict of interest policy, I disclose that I have a conflict of interest regarding the subject of this article. MrtnGslr (talk) 08:39, 31 August 2025 (UTC)
| Comprehensive Rust | |
|---|---|
| Original author(s) | Google (Android Team) |
| Initial release | 2022 |
| Repository | github |
| Written in | Rust |
| License | Apache License 2.0 |
| Website | google |
Comprehensive Rust is an open-source course on the Rust programming language developed by Google. It was originally created for internal training within the Android team to help experienced software engineers learn Rust. The course materials were made publicly available in 2022.
The course has been noted for its adoption by other companies for corporate training and its use in university curricula.[1][2][3]
History and Development
editComprehensive Rust was created by Google's Android team to facilitate the adoption of Rust for systems programming. The effort was motivated by the high percentage of memory safety vulnerabilities in the Android codebase, leading the team to seek a memory-safe language.[4] The primary goal was to provide a standardized, instructor-led training program to efficiently transition engineers with existing experience in languages like C++ or Java to Rust.[5] The course was developed and refined internally before being released to the public as an open-source project under the Apache License 2.0.[6]
Format and Content
editThe course is designed for a classroom-based, interactive format. The curriculum is divided into a core module and several specialized deep dives:[7]
- Rust Fundamentals (4 days)
- Concurrency in Rust (1 day)
- Bare-metal Rust (1 day)
- Rust in Android (1 day)
- Rust in Chromium (1 day)
The material includes lecture slides, code examples, and hands-on exercises designed to be completed by the students.[8]
Reception and Use
editThe course has received attention from third parties for its depth and application in professional settings. The technology news site Dark Reading featured Comprehensive Rust as a key example of how large companies are addressing the shortage of Rust talent through in-house training initiatives. The article quoted the executive director of the Rust Foundation, who highlighted the scale of Google's course compared to other available training.[1]
Organizations have adopted and adapted the course for their own use. The transportation technology company Via published an account of how it used Comprehensive Rust as the foundation for its internal training program to teach Rust to its Python developers.[2] The course has also been used in academia; a university instructor documented the process of modifying the curriculum for a five-day university-level class, providing a pedagogical analysis of the material.[3] A joint cybersecurity report from U.S. federal agencies, including the National Security Agency (NSA), identified Google's training materials as one of the main categories of available learning resources for Rust.[9]
Ecosystem Impact
editThe Comprehensive Rust project led to the creation of mdbook-i18n-helpers, an open-source tool developed to facilitate the translation of the course content.[10] The tool provides a gettext-based workflow for internationalizing documentation created with mdBook[11], a common tool in the Rust ecosystem. This tool has since been adopted by other major Rust community projects, such as Rust by Example.[12]
A global volunteer community has translated the course into numerous languages, including Chinese, Japanese, Korean, Spanish, and Ukrainian.[13]
References
edit- ^ a b "Seeking Rust Developers, Companies Turn to In-House Training". Dark Reading. 2023-10-02. Retrieved 2025-08-31.
- ^ a b "Bringing Rust to Python developers: lessons from our internal training". Via Transportation. 2025-04-07. Retrieved 2025-08-31.
- ^ a b "Teaching Rust in 5 days". mo8it.com. 2023-09-08. Retrieved 2025-08-31.
- ^ Geisler, Martin (2024-09-12). Rust Training at Scale (YouTube). RustConf 2024. Retrieved 2025-08-31.
- ^ Geisler, Martin (2023-09-21). "Scaling Rust Adoption Through Training". Google Security Blog. Retrieved 2025-08-31.
- ^ "Rust fact vs. fiction: 5 Insights from Google's Rust journey in 2022". Google Open Source Blog. 2023-06-27. Retrieved 2025-08-31.
- ^ "Course Structure - Comprehensive Rust". Google. Retrieved 2025-08-31.
- ^ "Welcome to Comprehensive Rust". Google. Retrieved 2025-08-31.
- ^ National Security Agency (2025-06-23). Memory Safe Languages: Reducing Vulnerabilities in Modern Software Development (PDF) (Report). U.S. Department of Defense. Retrieved 2025-08-31.
- ^ "google/comprehensive-rust". GitHub. Retrieved 2025-08-31.
- ^ "rust-lang/mdBook". GitHub. Retrieved 2025-08-31.
- ^ "TRANSLATING.md - Rust by Example". GitHub. Retrieved 2025-08-31.
- ^ "Translations - Comprehensive Rust". Google. Retrieved 2025-08-31.
External Links
editCategory:Rust (programming language) Category:Google software Category:Free educational resources Category:Open-source software
- Promotional tone, editorializing and other words to watch
- Vague, generic, and speculative statements extrapolated from similar subjects
- Essay-like writing
- Hallucinations (plausible-sounding, but false information) and non-existent references
- Close paraphrasing
Please address these issues. The best way is usually to read reliable sources and summarize them, instead of using a large language model. See our help page on large language models.