Learning Rust By Building Small CLI Tools!.pdf
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Slides for the talk by Jim Lynch! https://www.meetup.com/charlottesville-rust-meetup/events/292674779/
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![But How Do You KNOW That It Works?
🤔
● Use these small exercises as a way to
practice automated testing and TDD in Rust!
● Put your unit and integration tests
where cargo is expecting them!
● Get familiar with the `#[cfg(test)]`
and `#[cfg(not(test))]` macros!](https://image.slidesharecdn.com/learningrustbybuildingsmallclitools-230413212427-6002ee55/85/Learning-Rust-By-Building-Small-CLI-Tools-pdf-7-320.jpg)
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Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...
Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.
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Who Watches the Watchmen (SciFiDevCon 2025)
Who Watches the Watchmen (SciFiDevCon 2025)Allon Mureinik Tests, especially unit tests, are the developers’ superheroes. They allow us to mess around with our code and keep us safe.
We often trust them with the safety of our codebase, but how do we know that we should? How do we know that this trust is well-deserved?
Enter mutation testing – by intentionally injecting harmful mutations into our code and seeing if they are caught by the tests, we can evaluate the quality of the safety net they provide. By watching the watchmen, we can make sure our tests really protect us, and we aren’t just green-washing our IDEs to a false sense of security.
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This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft.
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Explore real-world nonprofit use cases and success stories.
Participate in live demonstrations and a hands-on activity to see how you can use Microsoft 365 Copilot in your own work!
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Exploring Wayland: A Modern Display Server for the FutureICS Wayland is revolutionizing the way we interact with graphical interfaces, offering a modern alternative to the X Window System. In this webinar, we’ll delve into the architecture and benefits of Wayland, including its streamlined design, enhanced performance, and improved security features.
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Learning Rust By Building Small CLI Tools!.pdf
- 1. Learning Rust By Building Small CLI Tools by Jim Lynch
- 2. About Me ● Software engineer for ~10 years ● As3 / Java / VBA -> JavaScript / TypeScript -> Clojure / ClojureScript -> Rust @JimLynchCodes ● Note: Still kind of a Rust noob 😅 NJ / NYC
- 3. Why People Come To Rust ● Safer than C / C++ ● Faster than everything else ● No GC / VM https://discord.com/blog/why-discord-is-switching-from-go-to-rust
- 4. Why People Fall In Love With Rust ● Super elegant syntax ● Variables can never have a “null” value… ● Functional-ish (eg. match and if are expressions) ● Explicit syntax for all mutability, field visibility, heap vs stack allocation…
- 6. Why CLI Tools? ● Default thing created from `cargo new foo` ● Small, isolated projects ● The speed and efficiency make it a great choice for building a “real” cli tool one day!
- 7. But How Do You KNOW That It Works? 🤔 ● Use these small exercises as a way to practice automated testing and TDD in Rust! ● Put your unit and integration tests where cargo is expecting them! ● Get familiar with the `#[cfg(test)]` and `#[cfg(not(test))]` macros!
- 8. Books Are Aiight Too
- 9. Jim’s Exercises & Examples ● Exercises: empty projects for you to work through. ● Examples: Reference for if you get stuck, Jim’s solutions to practice coding and testing in Rust. https://github.com/JimLynchCodes/rust-cli-exercises https://github.com/JimLynchCodes/rust-cli-examples
- 10. Let’s Look At Some Code!