Debugging Rust Code with AI
Debugging Rust Code with AI
Released/Updated: 5/5/2025
Duration: 1h 44m 58s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 251 MB
Genre: eLearning | Language: English
Released/Updated: 5/5/2025
Duration: 1h 44m 58s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 251 MB
Genre: eLearning | Language: English
This course equips intermediate-level Rust developers with the skills to use AI-powered tools for effective debugging, ensuring a smoother and faster workflow. Join instructor Ashish Sharda as he explores the integration of AI tools like GitHub Copilot and Rust Analyzer to streamline the debugging process and tackle common Rust challenges, including memory safety, async runtime, and type error handling. Through hands-on exercises, you’ll learn to set up and configure these tools in a Rust environment, using AI insights to diagnose and resolve complex issues with confidence. By combining traditional and AI-driven approaches, this course provides a comprehensive framework for enhancing Rust code quality, boosting productivity, and elevating debugging efficiency.
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