Debugging Rust Code with AI
1h 45mIntermediate2025-05-05
Authors

Ashish Sharda
Course details
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.
Learning objectives
Identify and set up AI-powered debugging tools like GitHub Copilot and Rust Analyzer.
Apply AI tools to debug Rust code, focusing on memory safety, async runtime, and type error handling.
Use best practices for integrating AI tools with traditional debugging techniques to resolve complex issues.
Analyze and troubleshoot real-world Rust debugging scenarios with AI support.
Learning objectives
Identify and set up AI-powered debugging tools like GitHub Copilot and Rust Analyzer.
Apply AI tools to debug Rust code, focusing on memory safety, async runtime, and type error handling.
Use best practices for integrating AI tools with traditional debugging techniques to resolve complex issues.
Analyze and troubleshoot real-world Rust debugging scenarios with AI support.
Skills covered
Programming FoundationsAI Productivity ToolsArtificial Intelligence for BusinessProgramming LanguagesBusiness Software and ToolsSoftware DevelopmentOne-Off
Concepts
0. Introduction
- 01 - Course introduction
- 02 - What you should know
- 03 - Course overview and goals
1. Introduction to Debugging in Rust
- 04 - Managing recoverable errors with the Result type
- 05 - Handling errors with the Option type
- 06 - Catching critical failures with the panic macro
- 07 - Common debugging challenges in Rust
- 08 - Overview of AI debugging tools
2. AI-Powered Debugging Tools and Setup
- 09 - Setting up VSCode for Rust development
- 10 - Essential VSCode setup for Rust debugging
- 11 - Integrating debugging tools
- 12 - AI tool configuration best practices
- 13 - Testing your setup
3. Practical Debugging Techniques
- 14 - Real-time code-analysis basics
- 15 - Memory safety debugging
- 16 - Async runtime debugging
- 17 - Macro debugging techniques
4. Hands-on Workshop
- 18 - Memory safety exercise
- 19 - Async runtime challenge
- 20 - Type system debugging
5. Wrap-Up and Reflection
- 21 - Accelerate your learning journey
- 22 - Become a more efficient and confident Rust developer
Related courses
- Build with AI: Creating AI Agents with OpenAI's Responses API
- Model Context Protocol (MCP) for Beginners by Microsoft
- Building AI Agents for Beginners by Microsoft
- Beyond Vibe Coding with Google Gemini: Become a Deliberate Developer
- Build with AI: Create Deterministic MCP Agents
- Build with AI: LLM-Powered Applications with Streamlit
- Build with AI: Creating a SaaS MVP in One Day
- Hands-On AI: Building Your First LLM-Powered App