GitHub Copilot - AI-driven Code Completion Tool
date
Dec 11, 2024
damn
language
en
status
Published
type
Products
image
https://www.ai-damn.com/1733923706651-24120603164459131796.jpg
slug
github-copilot-ai-driven-code-completion-tool-1733923713181
tags
AI Tool
Code Completion
Programming
Software Development
Machine Learning
summary
GitHub Copilot is an AI-powered code completion tool that assists developers by providing intelligent code suggestions. It integrates seamlessly with popular IDEs and supports multiple programming languages, enhancing coding efficiency significantly.
Product Introduction
GitHub Copilot is an AI-driven code completion tool offered by GitHub, designed to assist developers by providing intelligent code suggestions while coding. This tool integrates seamlessly with IDEs like Visual Studio Code, utilizing machine learning to understand code context and suggest completions for entire lines or whole functions. It is based on extensive training from open-source code, delivering high-quality suggestions that enhance coding efficiency and code quality.
Key Features
- AI-Powered Code Suggestions: Offers intelligent code completions based on the context of the code being written.
- Multi-Language Support: Compatible with several programming languages including Python, JavaScript, TypeScript, Ruby, and Go.
- Personalized Learning: Adapts to the user's coding habits, providing tailored suggestions that improve over time.
- Seamless IDE Integration: Works with popular integrated development environments (IDEs) like Visual Studio Code, making it easy to incorporate into existing workflows.
- Quality Improvement: Helps reduce coding errors and improves overall code cleanliness and performance.
- Open-source Training: Trained on vast amounts of open-source project data, ensuring high-quality and relevant code suggestions.
Product Data
- Pricing: Available as a paid service with a free trial option for professional developers.
- Monthly Visits: 494,758,773
- Bounce Rate: 37.69%
- Pages per Visit: 5.7
- Average Visit Duration: 00:06:29