Coding Smarter with JetBrains AI Assistant
1h 5mIntermediate2025-10-15
Authors
Kathryn Hodge
Software Developer
Course details
This course is a comprehensive guide for developers who want to leverage AI to enhance their productivity without sacrificing code quality. Through hands-on demonstrations and real-world examples, learn how to integrate AI assistance into every phase of software development—from initial code generation to documentation and testing. This course balances practical implementation with best practices, ensuring you know both how to use AI effectively and when to rely on your own expertise, ultimately transforming how you approach development tasks in modern enterprise environments.
Learning objectives
Configure and integrate JetBrains AI Assistant effectively within your development workflow.
Generate, analyze, and refactor code using AI assistance techniques.
Create comprehensive documentation and test suites with AI-guided approaches.
Identify appropriate use cases and limitations of AI coding tools to maintain skill development.
Learning objectives
Configure and integrate JetBrains AI Assistant effectively within your development workflow.
Generate, analyze, and refactor code using AI assistance techniques.
Create comprehensive documentation and test suites with AI-guided approaches.
Identify appropriate use cases and limitations of AI coding tools to maintain skill development.
Skills covered
AI for Personal ProductivityAI Development Tools and PlatformsAI Productivity and Everyday UseBuilding with AIProgramming LanguagesBusiness Software and ToolsSoftware DevelopmentOne-Off
Concepts
Getting Started with JetBrains AI Assistant
- Boost your efficiency with JetBrains AI Assistant
- Set up JetBrains AI Assistant in your IDE
- Configure AI Assistant settings for your workflow
Code Generation and Completion
- Write new functions with AI assistance
- Generate boilerplate code in Java projects
- Contextual code suggestions - How AI understands your project
- Handle edge cases in AI-generated code
- Utilize AI to write complex algorithms
Code Analysis and Improvement
- Explain complex code sections with AI
- Refactor legacy Java code with AI assistance
- Improve code performance with AI suggestions
- AI-assisted code reviews
Documentation and Testing
- Create unit tests for existing code with AI
- Analyze stack traces and error messages with AI
- Create user-friendly README files
- Document APIs and service interfaces
Project Management and Collaboration
- Craft meaningful commit messages with AI
- Compose AI-assisted pull request summaries
- Generate release notes and changelogs
- Use AI to onboard new team members to your codebase
Conclusion - Best Practices
- When not to use AI - Limitations and pitfalls