Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.
Productivity Boost
GitHub Copilot helps developers write code faster by providing intelligent suggestions and automating repetitive tasks. This can save significant time and reduce the cognitive load on developers.
Learning Tool
For less experienced developers, Copilot can serve as a learning tool by suggesting best practices and introducing them to new coding patterns and techniques.
Support for Multiple Languages
Copilot supports a wide range of programming languages, making it a versatile tool for developers working in different tech stacks.
Context-Aware Suggestions
Copilot offers context-aware suggestions based on the code that has been written so far, making its recommendations relevant to the current development task.
Integration with GitHub
Seamless integration with GitHub simplifies the development workflow, enabling smoother transitions from coding to version control and collaboration.
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It definitely increases my productivity.
Overall, GitHub Copilot is a beneficial tool for many developers, especially those looking to increase their productivity and experiment with new coding styles. It can be seen as an intelligent coding assistant that complements a developer's workflow rather than replaces it.
We have collected here some useful links to help you find out if GitHub Copilot is good.
Check the traffic stats of GitHub Copilot on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of GitHub Copilot on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of GitHub Copilot's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of GitHub Copilot on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about GitHub Copilot on Reddit. This can help you find out how popualr the product is and what people think about it.
Enter GitHub Copilot. Originally launched as an AI-powered autocomplete tool, Copilot quickly gained traction among developers. It helped write boilerplate code, offered smart suggestions, and reduced context-switching. But now, it has evolved into something more powerful: the GitHub Copilot Coding Agent. - Source: dev.to / about 9 hours ago
Writing comprehensive unit and integration tests is one of the best ways to ensure code quality – but it’s also labor-intensive. AI can help automate this tedious task. New AI assistants (like GitHub Copilot) can analyze Python functions and automatically generate meaningful test cases. As one developer puts it, “progress in AI has opened doors to automated test generation…presenting developers with an innovative... - Source: dev.to / 1 day ago
Tools like GitHub Copilot, Replit Ghostwriter, and Tabnine don’t just suggest code, they write it. These models are trained on billions of lines of open-source code and can auto-generate:. - Source: dev.to / 7 days ago
Or tools like GitHub Copilot, which autocomplete not just functions but full app logic. These aren’t just helping developers. They’re starting to think like one. - Source: dev.to / 8 days ago
AI is replacing traditional platforms like Stack Overflow, Reddit, and Google Search for developers — tools like GitHub Copilot, Cursor.ai, and Windsurf are seen as faster, more tailored, and more efficient. - Source: dev.to / 14 days ago
As my first in-editor AI coding partner, I started with Cursor. However, four months ago, I decided to switch to GitHub Copilot. While using Cursor, I was aware of Copilot and its features, but at the time, it felt unstable and not as polished as Cursor. Recently, I noticed that GitHub Copilot has been improving significantly, becoming a strong competitor to Cursor. This encouraged me to give Copilot a try,... - Source: dev.to / 17 days ago
GitHub Copilot The OG of this game, started back in 2020. Can generate code. Handles large codebases. Can merge PRs, fix bugs, search code. Supports agent mode now and also it's open-sourced. - Source: dev.to / 20 days ago
GitHub Copilot transforms the developer experience with AI-powered code completions, chat assistance, and intelligent code reviews. Backed by advanced AI models including Claude, GPT, and Gemini, Copilot provides contextualized assistance throughout the software development lifecycle. - Source: dev.to / 21 days ago
We at Ducky.ai noticed a strange thing has happened in software development, we’re no longer writing code in the traditional sense. Instead, we describe what we want and ask the machine to write the first draft. Tools like GitHub Copilot, Cursor, Replit, and Devin have changed what it means to build. The keyboard isn’t gone, but it’s quieter. Developers are prompting, guiding, reviewing. Code appears in response... - Source: dev.to / 22 days ago
Microsoft's AI pair programmer revolutionized code completion with context-aware suggestions drawn from entire codebases. Copilot Chat now extends beyond autocomplete to explain complex logic, generate tests, and refactor legacy code. The 2025 update introduced Copilot Extensions that integrate directly with CI/CD pipelines and cloud services. Developers report 55% faster coding speeds when using its advanced code... - Source: dev.to / about 1 month ago
GitHub Copilot Pair program with AI The $10/month mental health hack we didn’t know we needed. https://github.com/features/copilot. - Source: dev.to / about 1 month ago
Unlike autocomplete tools like GitHub Copilot, Agentic AI can take broad instructions like “build me a login page with email verification” and handle it end-to-end. - Source: dev.to / about 1 month ago
AI-assisted coding is transforming software development by enhancing efficiency, reducing repetitive tasks, and improving code quality. Tools like GitHub Copilot, Amazon CodeWhisperer, and OpenAI's Codex provide developers with suggestions for entire functions, automate boilerplate code, and identify real-time errors. AI also supports early bug detection and automated code reviews, which are essential for... - Source: dev.to / about 1 month ago
GitHub Copilot has emerged as one of the most widely adopted AI coding assistants, offering real-time suggestions as you type. - Source: dev.to / about 1 month ago
Microsoft's Visual Studio Code is a free code editor that relies on community plugins for support across various languages and frameworks. It also has an AI offering, Copilot, that provides code completion and it just added its own agent. VSCode supports multiple LLMs, but initially, there seemed to be a preference for ChatGPT, in part given its early lead and no doubt influenced by the fact Microsoft was an early... - Source: dev.to / about 1 month ago
GitHub Copilot Official Site — Overview of Copilot’s capabilities, pricing, and integrations from GitHub. - Source: dev.to / about 1 month ago
There are a growing number of IDE plugins that provide chat capabilities including GitHub Copilot, Continue.dev, and Roo Code. There are even already some dedicated AI IDEs such as Cursor. - Source: dev.to / about 1 month ago
Artificial intelligence is transforming debugging by accelerating bug detection and suggesting fixes. Bill Mann, Privacy Expert at Cyber Insider, recounts, “I enlisted an LLM to help me, and within a few minutes, found the offending code and sorted out a workaround.” Tools like GitHub Copilot, DeepCode, or CodeQL analyze code patterns, identifying issues faster than manual reviews. A 2024 Gartner report predicts... - Source: dev.to / about 2 months ago
GitHub Copilot uses OpenAI to provide autocomplete suggestions, generate entire code blocks, and even write tests based on comments. It supports a wide range of languages and integrates seamlessly with VS Code. - Source: dev.to / 2 months ago
GitHub Copilot's model flexibility is something you may want to try. It lets you switch between Anthropic's Claude 3.5 Sonnet, OpenAI o3, and GPT-4o, depending on your task. This means you can use preferred models for different coding problems, optimizing for speed with one model and deep reasoning with another, without switching tools. - Source: dev.to / 2 months ago
AI is increasingly being utilized to assist with the coding, either by proposing from earlier work or by automatically producing boilerplate code. This makes it possible to save much time that would have otherwise been taken writing from scratch. Tools such as GitHub Copilot, using OpenAI, are but one method with which AI is able to explore the patterns that exist in available code and present optimized solutions.... - Source: dev.to / 2 months ago
GitHub Copilot, launched by GitHub in collaboration with OpenAI, is rapidly transforming the landscape of AI-assisted coding. This tool, categorized under AI assistants, developer tools, and code autocomplete, harnesses advanced machine learning models like OpenAI Codex and GPT-4 to offer robust functionality for developers worldwide. As an AI-powered coding assistant, Copilot aims to enhance productivity by providing real-time, context-aware code suggestions across a multitude of programming languages, including but not limited to JavaScript, Python, Ruby, and Go.
Integration and Usage:
GitHub Copilot is highly integrated into popular Integrated Development Environments (IDEs) like Visual Studio Code, Visual Studio, Vim, and JetBrains, allowing developers to seamlessly integrate AI assistance into their daily workflows. Copilot’s real-time code suggestions include autocomplete, code explanation, and even complex logic generation, often cited as a key advantage in enhancing developer productivity.
Features and Improvements:
GitHub Copilot's constant evolution is marked by new feature rollouts such as enhanced chat history, drag & drop functionalities, and improved ways to provide context. This evolution is crucial for users seeking seamless integration with existing tech stacks, especially those utilizing open-source platforms or working within educational contexts. Notably, GitHub Copilot Chat is emerging as a significant offering, providing a platform where developers can query code explanations or request code improvements directly within their IDE.
Market Perception and Competitors:
Despite its many strengths, GitHub Copilot faces competition from other AI-powered tools like Tabnine, Kite, Codeium, Cursor, Visual Studio IntelliCode, Amazon CodeWhisperer, and Windsurf Editor. Among these, Cursor is often highlighted as a notable competitor due to its strong feature set that some users have found comparable. However, GitHub Copilot distinguishes itself with its comprehensive capabilities such as pair programming assistance, bug fixes, and the capacity to work with large codebases.
Concerns and Criticism:
Public opinion towards GitHub Copilot is largely positive, with many considering it a game-changer in the realm of AI-assisted development. However, concerns have been raised regarding potential copyright issues, given the tool's reliance on open-source codebases for training its models. These concerns underline the need for careful ethical considerations as AI continues to advance in software development.
Financial Accessibility:
From a pricing perspective, GitHub Copilot is accessible to students and open-source contributors for free, while individual developers can subscribe for $10/month, and business users for $19/month. This pricing model, combined with its feature offerings, makes Copilot a viable option for both new and experienced developers.
Conclusion:
GitHub Copilot remains a leading player in the AI coding assistant market, thanks to its robust functionality and seamless integration into the developer workflow. As AI technology continues to progress, GitHub Copilot is poised to offer even more sophisticated features that promise to streamline coding tasks and significantly improve the software development lifecycle. Nevertheless, as with any AI tool, potential users must remain cognizant of ethical implications and consider the full ecosystem of competing products to ensure the best fit for their specific development needs.
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Is GitHub Copilot good? This is an informative page that will help you find out. Moreover, you can review and discuss GitHub Copilot here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
Future of Coding
pretty much fastens writing code for me
Some people have been complaining but I've had only good experience with Copilot. I've been using it since its beta, and I can't imagine my day-to-day work without it nowadays. I'm saying this as a happy paying user.