FAQ - AI Coding Assistant

1. How do I get started with the AI Coding Assistant?

Quick Start Guide:

Describe your coding needs in the input box using natural language
Be specific about programming language, functionality, and requirements
The AI will generate code with detailed explanations
You can request modifications, optimizations, or explanations for any part

Example: "Please write a Python calculator program that supports basic arithmetic operations (add, subtract, multiply, divide)"

2. Which programming languages are supported?

Supported Programming Languages:

Web Development: HTML, CSS, JavaScript, TypeScript, React, Vue.js, Angular
Backend Development: Python, Java, C#, Node.js, PHP, Go, Ruby
Mobile Development: Swift, Kotlin, React Native, Flutter
Data Science: Python (pandas, numpy), R, SQL
Others: C++, C, Rust, Scala, Shell scripting, and more

If you need help with other languages, just ask! The AI will do its best to assist you.

3. Why is the AI-generated code producing errors when I run it?

Common Causes and Solutions:

Environment Differences: Ensure your development environment version is compatible
Missing Dependencies: Check if required libraries and packages are installed
Path Issues: Verify file paths and resource paths are correct
Syntax Updates: Some syntax may have changed in newer language versions

Best Practice: Copy the exact error message to the AI, and it can help you quickly identify and solve the problem.

4. How can I get the AI to generate more complex project code?

Tips for Better Results:

Break Down Requirements: Divide complex needs into smaller, manageable tasks
Provide Context: Explain project background, tech stack, and performance requirements
Use Examples: Provide specific use cases and expected outputs
Iterate and Improve: Start with a basic version, then gradually add features

Example: "I need a React shopping cart component with add, remove, quantity modification, and price calculation features, using TypeScript, with responsive design"

5. How can I optimize the performance of AI-generated code?

Performance Optimization Strategies:

Specify Performance Requirements: Tell the AI your performance needs (response time, memory usage, etc.)
Request Optimization Suggestions: Directly ask "How can I optimize this code's performance?"
Choose Appropriate Algorithms: Let the AI recommend algorithms best suited for your data scale
Code Review: Ask the AI to identify performance bottlenecks in your code

The AI can provide time complexity analysis and specific optimization recommendations.

6. How can I understand complex AI-generated code?

Code Understanding Methods:

Line-by-Line Explanation: Ask "Please explain what each line of code does"
Concept Clarification: Request detailed explanations of unfamiliar concepts
Flow Diagrams: Ask the AI to describe the code execution flow
Example Demonstrations: Request specific runtime examples and output results

Don't hesitate to ask questions - the AI will explain any technical concept in simple, understandable terms.

7. Can the AI help me refactor existing code?

Code Refactoring Services Include:

Code Cleanup: Remove redundant code and improve code structure
Performance Optimization: Enhance code execution efficiency
Readability Improvement: Add comments and rename variables
Best Practices: Refactor code according to industry standards
Design Patterns: Apply appropriate design patterns

How to Use: Paste your code and say "Please help me refactor this code", along with your refactoring goals.

8. Can the AI help me debug code errors?

Debugging Support Includes:

Error Analysis: Analyze error messages and locate the source of problems
Fix Suggestions: Provide specific solutions for fixes
Test Cases: Generate test code to verify the effectiveness of fixes
Prevention Measures: Suggest how to avoid similar errors in the future

Best Practice: Provide complete error messages, relevant code snippets, and runtime environment descriptions.

9. Are there any limitations when using the AI Coding Assistant?

Usage Limitations:

Response Length: Single responses have character limits; complex projects need to be broken down
Real-time Information: AI is based on training data and may not include the latest technology updates
Execution Environment: AI only generates code and cannot directly run or test it
Specialized Domains: Some highly specialized fields may require human expert assistance

These limitations won't affect most development needs. Contact technical support for special requirements.

10. How can I get the AI to generate code that follows my team's coding standards?

Customized Code Generation:

Provide Style Guidelines: Describe your team's coding standards
Specify Code Style: Explain variable naming, indentation, comment style, etc.
Framework Conventions: Specify the frameworks and related conventions you use
Example Code: Provide existing team code as reference

Example: "Please use camelCase naming, all functions need JSDoc comments, and follow Airbnb's JavaScript style guide"

Frequently Asked Questions