JetBrains AI - A Deep Dive

Overview

Explore JetBrains AI's capabilities, features, and potential applications in software development with insights from Vladislav Tankov's comprehensive analysis.

Syllabus

• **Introduction to JetBrains AI**
Overview of JetBrains AI and its role in software development
Brief history and evolution
• **Core Features of JetBrains AI**
Code completion and intelligent suggestions
Refactoring and code quality analysis
Debugging assistance and error detection
Integration with JetBrains IDEs
• **Technical Architecture**
Underlying algorithms and AI models
Data processing and learning pipelines
Scalability and performance considerations
• **Potential Applications in Software Development**
Enhancing developer productivity
Automated code generation
Error prevention and handling
Collaboration and integration in development workflows
• **Insights from Vladislav Tankov's Analysis**
Key insights and findings
Comparative analysis with other AI tools in the industry
Case studies and practical examples
• **Ethical and Security Considerations**
Data privacy and security issues
Ethical use of AI in software development
Responsible AI practices and guidelines
• **Hands-On Sessions**
Setting up JetBrains AI in a development environment
Practical exercises on leveraging AI features
Debugging and refactoring code with AI assistance
• **Future Trends and Developments**
Upcoming features and updates
Long-term vision for JetBrains AI in software development
Industry perspectives and future growth
• **Course Review and Feedback**
Summary of key learnings
Participant feedback and course improvement
Further resources and study materials

Subjects

Conference Talks