Accelerating Development With AI
Sreekanth Reddy
AI in Coding
The future of programming is here
AI tools enhance developer productivity significantly.
Streamlining code with intelligent automation
Automation tools reduce manual errors effectively.
AI-powered debugging and testing solutions
Debugging tools improve code quality remarkably.
Overview of GitHub Copilot
- Developed by GitHub and OpenAI
- Uses OpenAI Codex, a language model trained on billions of lines of code
- Designed to assist developers with
- Writing code
- Refactoring
- Learning new languages/frameworks
Key Features of GitHub Copilot
Auto Completion
Autocompletes entire lines or blocks of code
Prompting
Provides code suggestions based on natural language prompts
Multilingual
Supports multiple programming languages (e.g., Python, JavaScript, C++, etc.)
Contextual & Integration
Context-aware suggestions Works seamlessly in VS Code and other IDEs
Benefits of GitHub Copilot
- Speeds up coding by reducing boilerplate
- Helps explore new frameworks or APIs
- Encourages best practices by suggesting optimized code
- Reduces context-switching for developers
- With GitHub Copilot Free you get 2000 code completions/month. That’s about 80 per working day – which is a lot. You also get 50 chat requests/month, as well as access to both GPT-4o and Claude 3.5 Sonnet models.
GitHub Copilot Chat
- AI chat interface integrated in IDE (JetBrains IDEs, VS code and Visual Studio)
- Uses project code as context.
- Use for explanations, fixes, test generations & more.
Limitations of
- Not always accurate; suggestions may need manual review
- Potential licensing issues with suggested code
- Requires an internet connection
- May suggest outdated or insecure code snippets
Demo
Amazon Q
Feature Development (/dev)
Assists in implementing new features across projects by generating relevant code and test cases.
Code Review (/review)
Analyzes entire projects to identify critical issues, suggest improvements, and ensure adherence to best practices.
Documentation (/doc)
Automatically generates comprehensive documentation for codebases, enhancing maintainability and knowledge sharing.
Agentic Design
Planning Before Execution
Amazon Q Developer plans tasks before execution.
Iterative Process
Iterates through various steps to refine solutions, leading to higher accuracy and alignment with project structures.
Other AI Extensions in VS Code
- TabNine: AI-powered code completion
- IntelliCode: Context-aware code suggestions for Microsoft languages
- Codium AI: AI-powered tool for generating test cases and improving code quality through intelligent analysis.
- Blackbox AI: AI-powered code assistant for autocompletion, search, and debugging.
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