--- title: GitHub Copilot Reviews meta_title: 'GitHub Copilot Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 387 reviews by the users' company size, role or industry to find out how GitHub Copilot works for a business like yours. aggregate_rating: rating_value: 4.4 review_count: 387 scale: '5' date_modified: '2026-08-01' parent_category: name: Generative AI url: https://www.g2.com/categories/generative-ai --- # GitHub Copilot Reviews **Vendor:** GitHub **Category:** [AI Coding Assistants Software](https://www.g2.com/categories/ai-coding-assistants) **Average Rating:** 4.4/5.0 **Total Reviews:** 387 ## About GitHub Copilot GitHub Copilot helps more than 1 million developers and over 20,000 businesses push what’s possible in software development. Based on powerful LLMs, including OpenAI’s GPT models, this AI pair programmer helps developers write code faster and with less work by drawing context from comments and code to suggest individual lines and whole functions instantly. All languages are supported, however the more common a language, the better represented it will be in the training data and the more robust suggestions will be. ## GitHub Copilot Pros & Cons **What users like:** - Users appreciate the **ease of use** of GitHub Copilot, seamlessly integrating into their coding workflow and enhancing productivity. (149 reviews) - Users value the **seamless coding assistance** from GitHub Copilot, enhancing productivity and supporting learning for new programmers. (128 reviews) - Users appreciate how GitHub Copilot significantly enhances **productivity by generating relevant code and suggestions in real-time**. (41 reviews) - Users value the **effective problem-solving capabilities** of GitHub Copilot, providing timely solutions and smart coding suggestions. (38 reviews) - Users value the **efficiency** of GitHub Copilot for reducing errors and simplifying the coding process. (36 reviews) - Time-saving (33 reviews) - Easy Integrations (32 reviews) - Features (30 reviews) - Implementation Ease (24 reviews) - Useful (24 reviews) **What users dislike:** - Users find that **poor coding accuracy** can lead to unhelpful suggestions and inconsistent code generation experiences. (39 reviews) - Users find **poor suggestions** from GitHub Copilot can lead to inaccuracies and require careful review before use. (31 reviews) - Users find GitHub Copilot **expensive** , which can be a barrier for students and new developers to access its features. (25 reviews) - Users often experience **inaccuracy issues** with GitHub Copilot, leading to mistakes and increased review times for solutions. (19 reviews) - Users experience **context understanding issues** with GitHub Copilot, leading to confusion and inefficiencies in coding tasks. (14 reviews) - Users experience a **difficult learning** curve with GitHub Copilot, requiring time to adapt to its suggestions effectively. (14 reviews) - Irrelevant Responses (12 reviews) - Prompt Issues (11 reviews) - Hallucinations (9 reviews) - Users feel that GitHub Copilot has **limited features** , lacking the versatility needed for broader integration and use. (9 reviews) ## GitHub Copilot Reviews ### 1. Boosts Coding Productivity, Needs Better Context for Free Users **Rating:** 3.5/5.0 stars **Reviewed by:** Jai Y. | Software Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** July 28, 2026 **What do you like best about GitHub Copilot?** I use GitHub Copilot to assist with coding by generating code suggestions, completing repetitive code, and helping me write functions faster. It improves my productivity and speeds up software development while reducing the time spent on routine tasks. What I like most about GitHub Copilot is the Agent mode. It can understand the context of my project, help implement features across multiple files, suggest fixes, and automate repetitive coding tasks. It feels more like working with a coding partner than just an autocomplete tool. Agent mode saves me a lot of time because it can understand the context of my project and work across multiple files instead of just suggesting the next line of code. I use it to implement features, refactor code, fix bugs, and explain unfamiliar code. It reduces repetitive work and lets me focus more on solving the actual problem rather than writing boilerplate code. The integration with Visual Studio Code is seamless and allows me to generate code, refactor existing code, debug issues, and use Agent mode without leaving my development environment. The initial setup was very easy. After signing in with my GitHub account and installing the Visual Studio Code extension, I was able to start using GitHub Copilot within minutes. The integration was smooth and required very little configuration. **What do you dislike about GitHub Copilot?** One area that could be improved is the context window available to the free Agent mode. For larger projects, it sometimes loses important context, which can lead to less accurate suggestions. A larger context window for free users would make the Agent much more effective when working across complex codebases. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot to generate code suggestions, reducing repetitive coding. It helps me write code faster, understand APIs, generate boilerplate code, and speed up debugging and development. Agent mode implements features, refactors code, and fixes bugs, saving me time on routine tasks. ### 2. A highly productive mobile companion for repository management and brainstorming code logic **Rating:** 4.0/5.0 stars **Reviewed by:** Chandra K. | Digital Operations & AI Specialist, Small-Business (50 or fewer emp.) **Reviewed Date:** July 26, 2026 **What do you like best about GitHub Copilot?** The most helpful part is having the Copilot assistant built directly into the mobile app. It completely removes the friction of brainstorming code updates when I am away from my desk. For example, when working on a repository issue to expand a Python script, I can use the chat interface to map out the logic. The major upside is that it does not just give the text answers. It actually prompts to handle the backend file setups and configurations directly on my branch once I accept the suggestion, keeping my workflow uninterrupted. **What do you dislike about GitHub Copilot?** The main downside is that reviewing complex code blocks or maintaining Python indentation formats can be really tedious on a smaller mobile screen layout. Additionally, the free tier frequently prompts you to upgrade to the Copilot Pro version to unlock uninterrupted sessions and advanced cloud agent capabilities, which feels a bit restrictive. Lastly, you cannot blindly trust every suggestion. You still need to carefully review the output to catch subtle logic bugs or outdated library syntax before pushing changes to production. **What problems is GitHub Copilot solving and how is that benefiting you?** It solves the problem of development workflow fragmentation when I am away from my main workstation. Instead of missing critical repository updates or waiting until I am at my desk to sketch out a script idea, I can handle everything instantly on my phone. While planning updates to expand a Python welcome script, it bridges the gap by letting me brainstorm logic and build out structural files concurrently. This keeps my engineering momentum going and drastically cuts down the time it takes to go from a logged repository issues to a functional layout. ### 3. GitHub Copilot Boosts Productivity with Smooth, Context-Aware Suggestions **Rating:** 4.0/5.0 stars **Reviewed by:** Happy M. | Software Engineer, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** July 16, 2026 **What do you like best about GitHub Copilot?** What I like most about GitHub Copilot is how much it speeds up day-to-day coding without getting in the way. It’s especially helpful for repetitive code, boilerplate, and even test cases, which frees me up to focus more on the overall solution instead of spending time typing routine pieces. Most of the time, the suggestions match the context of the file I’m working in, and having it built right and integration in to my IDE keeps the workflow feeling smooth and uninterrupted. It’s not perfect, but when I treat it as a coding assistant rather than something to depend on completely, it can make a noticeable difference in productivity. **What do you dislike about GitHub Copilot?** One downside is that some suggestions look correct at first glance but don’t always align with the project’s coding style or business logic, so I still need to review the generated code carefully. It can also struggle with very specific or complex requirements, which means manual adjustments are often necessary. Overall, it’s a strong productivity tool, but it’s not something I’d rely on without validating its suggestions. Also, **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot helps me cut down the time I spend on repetitive coding tasks, such as writing boilerplate code, creating unit tests, and looking up common syntax. Rather than constantly switching between documentation and my IDE, I can stay focused and move through feature work faster. Overall, it has improved my development workflow by accelerating routine tasks while still allowing me to review, adjust, and refine the final implementation. ### 4. A Valuable Tool for Faster Software Development **Rating:** 4.0/5.0 stars **Reviewed by:** Juan giraldo O. | Musician, Mid-Market (51-1000 emp.) **Reviewed Date:** June 17, 2026 **What do you like best about GitHub Copilot?** What I like best about GitHub Copilot is how seamlessly it integrates into the development workflow. The user interface is clean and intuitive, making it easy to access suggestions without disrupting focus. Its integration with popular IDEs such as Visual Studio Code, Visual Studio, and JetBrains products allows developers to start using it quickly within their existing environments. GitHub Copilot delivers strong performance by generating relevant code suggestions in real time, helping reduce development time and improve productivity. From a pricing and ROI perspective, it provides significant value by automating repetitive tasks and allowing developers to focus on higher-value work. The onboarding process is straightforward, requiring minimal setup and offering extensive documentation and support resources. Most importantly, its AI capabilities stand out by providing context-aware code generation, debugging assistance, documentation support, and intelligent recommendations that help accelerate learning and software development. **What do you dislike about GitHub Copilot?** One aspect I dislike about GitHub Copilot is that its suggestions are not always accurate or optimized, which means developers still need to carefully review and validate the generated code. While the interface is easy to use and integrates well with popular development environments, there are times when the recommendations may not fully align with project requirements or coding standards. Performance is generally strong, but the quality of suggestions can vary depending on the complexity of the task and the available context. From a pricing perspective, some individual developers or smaller teams may find it difficult to justify the cost if they do not use it regularly. The onboarding process is relatively simple, although new users may need time to learn how to write effective prompts and get the best results. Additionally, while the AI capabilities are impressive, concerns around code accuracy, security, and the potential generation of outdated patterns mean that human oversight remains essential. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot solves several common software development challenges, including repetitive coding tasks, slow implementation of routine functions, and the time required to search for documentation or code examples. By providing AI-powered, context-aware suggestions directly within the development environment, it helps streamline coding workflows and reduces the effort needed to write, test, and document code. Its integration with popular IDEs also helps developers remain productive without switching between multiple tools. This benefits me by improving efficiency, accelerating development cycles, and allowing me to focus more on problem-solving and application design rather than repetitive tasks. The real-time suggestions help reduce development time, while the AI assistance supports learning, debugging, and code quality improvements. Overall, GitHub Copilot enhances productivity, delivers strong value for the time saved, and helps create a smoother and more effective development experience. ### 5. GitHub Copilot Makes Coding in VS Code Faster and Easier **Rating:** 4.0/5.0 stars **Reviewed by:** Rushi S. | Google Gemini AI Trainer , Small-Business (50 or fewer emp.) **Reviewed Date:** July 07, 2026 **What do you like best about GitHub Copilot?** When ChatGPT was launched, coders felt relieved that they no longer had to write code entirely manually, because AI could help with it. But GitHub Copilot made it even easier: now coders can use this feature directly inside VS Code and work more easily. **What do you dislike about GitHub Copilot?** The main issue I’ve faced while using it is that when there’s an error in the code, GitHub Copilot isn’t very helpful. In those situations, I end up going back to ChatGPT to figure it out. At that point, it doesn’t really make sense to use this GitHub Copilot feature if I ultimately have to rely on ChatGPT anyway. **What problems is GitHub Copilot solving and how is that benefiting you?** Whenever I’m writing code manually in VS Code, I use GitHub Copilot to automatically complete the rest of my code. It does a good job of understanding what I’m trying to write, so I no longer have to type prompts into GPT to explain what I need, then copy and paste the code back into VS Code. ### 6. Genuinely surprised by how much this sped up my day-to-day **Rating:** 3.5/5.0 stars **Reviewed by:** parin s. | Web Application Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 06, 2026 **What do you like best about GitHub Copilot?** Honestly, the autocomplete is what got me hooked. I was skeptical at first like, how good can it really be? But within the first week I noticed I was spending way less time writing boilerplate and more time actually thinking through problems. It picks up on what I'm trying to do really fast, sometimes finishing a function before I've even thought through the logic myself. The VS Code integration feels completely natural, no friction at all. And it works across languages, which matters a lot for me since I jump between Python and TypeScript constantly. **What do you dislike about GitHub Copilot?** Not a whole lot honestly. Sometimes it suggests something that's totally off-base like it'll autocomplete in the wrong direction if I have a particularly unusual pattern in my codebase. You still need to pay attention and not just accept everything blindly. Also the subscription cost feels a bit steep if you're just using it solo, though for teams it's easy to justify. Oh, and occasionally it lags a bit when I'm working with very large files, but that's minor. **What problems is GitHub Copilot solving and how is that benefiting you?** The biggest thing for me is just raw speed. I used to spend a ton of time writing repetitive stuff API boilerplate, test scaffolding, that kind of thing. Copilot handles most of that now and I can actually focus on the interesting parts of the problem. My juniors on the team have also come up to speed way faster than I expected because they're getting these inline hints as they code. Hard to put an exact number on it but I'd say I'm pushing out PRs noticeably faster than before. For our team the subscription cost was a no-brainer within the first month. ### 7. Smooth VS Code Integration and Fast AI Suggestions That Boost Productivity **Rating:** 4.0/5.0 stars **Reviewed by:** Ritesh G. | Cloud Coordinator, Small-Business (50 or fewer emp.) **Reviewed Date:** May 06, 2026 **What do you like best about GitHub Copilot?** GitHub Copilot has really improved my coding workflow. The UI easily gets integrated with Visual Studio Code feels smooth and easy to use. It gives fast AI code suggestions, help complete functions and save a lot of typing time. Performance is quick, thought sometime suggestions are inaccurate. Overall, it makes learning and coding faster and more productive. **What do you dislike about GitHub Copilot?** I'm currently using the student plan which was giving access to multiple AI models from different model providers (including Anthropic, Google, OpenAI...), but with the latest update to GitHub Copilot they just removed most flagship models and limit access to remaining, which is quite disappointing. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot is already integrated with GitHub and the Visual Studio Code editor, which makes code analysis and debugging easier without leaving the platform. Onboarding Copilot in Visual Studio Code is quite simple and straightforward. “Agent mode” is one of my favorite features because it helps me work with a large codebase more effectively, with faster debugging and smoother addition of new features. It automatically chooses a good approach to generate optimized code, and “Planning mode” helps create a more detailed plan for the codebase and a clearer plan for how to work on it. ### 8. Automates Code Fixes, Dependencies, and End-to-End Project Runs **Rating:** 4.0/5.0 stars **Reviewed by:** Gaurav C. | Freelancer with team, Small-Business (50 or fewer emp.) **Reviewed Date:** April 29, 2026 **What do you like best about GitHub Copilot?** It automatically corrected code ,installs requirements .txt file ,run python commands parallely as well as sequentially .also run commands in a virtual env if possible.it is very beneficial for coders have tons of files made and they donnot want to dig in for errors finding.just ask to GitHub copilot chat and it will make that sorted for you.Also it helps in running the total project from scratch from installing dependencies to testing project on corner test cases. **What do you dislike about GitHub Copilot?** Many a times when it don't find solution it not stops ,instead it go on a infinite loop checking the same condition again and again and hence wastage of cpu cycles and resources happen.also manyatimes it do not take user responses as they are said for.it automatically starts its computation if the user is simply asking to show file . **What problems is GitHub Copilot solving and how is that benefiting you?** Debugging errors in tricky corner and edge cases, building a project from scratch, and installing the required dependencies can be difficult. If I’m unaware of a feature that could be used, GitHub Copilot points it out and suggests adding it to speed up the process. It feels like a helping hand for programmers, and it benefits me by acting as an assistant whenever I’m working on a project in VS Code.I used GitHub Copilot while developing an AI-based project during my college coursework, where I built a system for detecting AI-generated vs human-written content. The project involved working with Python, machine learning libraries, and model integration. I integrated Copilot into my development workflow in VS Code, where it helped generate code snippets, suggest improvements, and speed up writing functions and dependencies. It was particularly useful in handling repetitive coding tasks and improving productivity while working on a structured project. My usage closely resembled real-world development practices, including managing dependencies, debugging, and iterating on code. ### 9. A must-have for IT pros who code on the side **Rating:** 4.0/5.0 stars **Reviewed by:** Rohit S. | Acting Team Lead – Backup & Storage Services, Enterprise (> 1000 emp.) **Reviewed Date:** June 24, 2026 **What do you like best about GitHub Copilot?** Inline suggestions that never break my flow and make it feel completely natural. I'll start typing a function name and Copilot fills in the entire body, often exactly what I had in my mind. Also, the chat feature (Copilot Chat) is very underrated. When I need to debug a module I wrote three weeks ago and barely remember, asking Copilot "what is this function doing and where might it break?" gives a genuinely useful answer, better than Googling the error message. **What do you dislike about GitHub Copilot?** It occasionally gets overconfident with framework-specific code. I've had it suggest deprecated Next.js patterns or generate Mongoose query syntax that was slightly off. Always needs a review pass , you can't accept suggestions blindly. Also, on large monorepo projects, it sometimes loses context and starts suggesting code that contradicts what's defined two files away. Better cross-file awareness would make it 10/10 tool. **What problems is GitHub Copilot solving and how is that benefiting you?** It's collapsed the gap between "I have an idea for a feature" and "I have working code". For someone managing enterprise infrastructure by day and shipping software projects by night, Copilot is the difference between progress and burnout. I've shipped more personal and client projects in the past six months than in the two years before. ### 10. GitHub Copilot Boosts Productivity with Fast, Helpful Code Suggestions **Rating:** 4.0/5.0 stars **Reviewed by:** Muthu K. | Senior Technical Lead SAP, Enterprise (> 1000 emp.) **Reviewed Date:** June 23, 2026 **What do you like best about GitHub Copilot?** As an SAP PM consultant who occasionally works with ABAP and automation scripts, I find GitHub Copilot useful for quickly generating code snippets, explaining existing code, and reducing development effort. It helps improve productivity by providing intelligent suggestions and accelerating routine coding tasks **What do you dislike about GitHub Copilot?** SAP-related work, Copilot sometimes struggles with highly specialized business processes and SAP-specific frameworks. The generated suggestions often require significant validation to ensure they align with organizational standards, security requirements, and business logic. It is a productivity aid rather than a replacement for domain expertise. **What problems is GitHub Copilot solving and how is that benefiting you?** What I like best about GitHub Copilot is its ability to speed up development by providing context-aware code suggestions, generating boilerplate code, and helping with repetitive tasks. It improves productivity, reduces time spent searching for syntax or examples, and assists in learning new frameworks and APIs by offering relevant code recommendations directly within the IDE. ### 11. A Huge Time-Saver with Accurate Code Suggestions **Rating:** 4.0/5.0 stars **Reviewed by:** Dinesh D. | SDE-1, Mid-Market (51-1000 emp.) **Reviewed Date:** June 02, 2026 **What do you like best about GitHub Copilot?** What I like most is how much time it saves during development. The code suggestions are often accurate and help me avoid repetitive work, especially when I’m creating new components or working with unfamiliar libraries. **What do you dislike about GitHub Copilot?** It’s a huge productivity boost, even though the suggestions aren’t always correct. I still need to review the generated code carefully especially when it comes to complex business logic but it definitely helps speed up day-to-day development. **What problems is GitHub Copilot solving and how is that benefiting you?** It helps me spend less time on repetitive coding tasks. The suggestions are often useful for generating boilerplate code and for exploring new libraries, which lets me focus more on solving real problems and build features faster. ### 12. Reduce you workload with GitHub Copilot. **Rating:** 4.0/5.0 stars **Reviewed by:** Hem G. | Backend Developer , Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** March 25, 2024 **What do you like best about GitHub Copilot?** GitHub is a version control system with you can write a code with Team, and manage your code. With GitHub Copilot as their name it is your Copilot which gives you a suggestion for your code. And give you title for your commits. **What do you dislike about GitHub Copilot?** Majority of the time GitHub Copilot gives you best suggestion for your code and title for your commits, but some times it gives you unnecessary title and code which is not useful for you. **What problems is GitHub Copilot solving and how is that benefiting you?** With GitHub Copilot I take less time to complete my coding task. And i write more efficient code with it. Some times when I forget the syntax it is gives me reminder of the syntax which is very usefull. ### 13. Boosts Productivity with Handy Code Suggestions **Rating:** 3.5/5.0 stars **Reviewed by:** VIVEK S. | Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** May 12, 2026 **What do you like best about GitHub Copilot?** I use GitHub Copilot mainly for code suggestions, debugging help, and speeding up repetitive coding tasks. It helps me generate boilerplate code, write functions faster, and understand APIs while working on projects in languages like Python, JavaScript, and HTML/CSS. Copilot saves time by suggesting optimized code snippets and assisting with documentation comments, especially useful during web development and automation projects, since it improves productivity and reduces manual effort. One of the GitHub Copilot's features I value the most is its real-time code suggestions because they help me complete functions and logic much faster while coding. Copilot Chat is also frequently used for debugging, explaining code, and getting quick solutions without leaving the editor. Automatic boilerplate generation during web development and scripting tasks is another time-saving feature. These features improve productivity, reduce repetitive work, and help me focus more on problem-solving instead of routine coding. **What do you dislike about GitHub Copilot?** While GitHub Copilot is very helpful, there are times when the code suggestions are not fully accurate or optimized for the specific project context. Sometimes it generates repetitive or outdated solutions, so the code still needs careful review and testing. In larger projects, Copilot can occasionally misunderstand the intent of complex logic or existing architecture. Another area for improvement would be better support for highly customized codebases and more precise debugging suggestions. Improving context awareness and reducing irrelevant recommendations would make the experience even better. The initial setup was not too much of an easy task. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot for code suggestions, debugging, and speeding up repetitive tasks. It helps generate boilerplate code, write functions faster, and understand APIs. Copilot improves productivity, provides debugging assistance, and minimizes context switching with real-time recommendations. ### 14. Easy CI/CD Setup and a Great VS Code Plugin **Rating:** 4.0/5.0 stars **Reviewed by:** Sarthak M. | Full Stack Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** July 19, 2026 **What do you like best about GitHub Copilot?** It’s easy to set up the whole CI/CD pipeline. It’s also very quick to implement, and the notification services are properly handled. It helps with code auto-complete, and the chatbot is good as well. The VS Code plugin is the feature I’ve benefited from the most. **What do you dislike about GitHub Copilot?** It uses up too many tokens, which ends up making it a bit costly. **What problems is GitHub Copilot solving and how is that benefiting you?** It helps with code reviews, code auto-completion, and code explanations. The CI/CD pipeline setup is also good. ### 15. Effortless Code Completion and Bug Fixes **Rating:** 4.0/5.0 stars **Reviewed by:** Pramod K. | Frontend Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** July 29, 2026 **What do you like best about GitHub Copilot?** I like how GitHub Copilot easily integrates with VS Code, making it simple to set up. It's great at analyzing the full file and helping me with code completion and bug fixes. I can type a prompt, and it assists with documentation creation as well. **What do you dislike about GitHub Copilot?** In GitHub Copilot, we can't provide just a few lines of code like with Antigravity. Also, it's necessary to select every file we want to analyze instead of having it analyze a complete folder. Additionally, it does not generate documentation in PDF format. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot for code completion, bug fixes, and documentation creation, greatly enhancing my coding efficiency with full code analysis. ### 16. Saves Time with Boilerplate and Patterns in VS Code **Rating:** 4.0/5.0 stars **Reviewed by:** ARYAN M. | Undergraduate Student, Higher Education, Small-Business (50 or fewer emp.) **Reviewed Date:** July 03, 2026 **What do you like best about GitHub Copilot?** I mainly use GitHub Copilot inside vs code mainly when building a project or while practicing DSA. It saves my time by providing boilerplate code and common patterns along with helper functions that one needs to type in manually. **What do you dislike about GitHub Copilot?** Sometimes it misunderstands what I am actually trying to build. For more complex logic I still have to think through the implementation myself. **What problems is GitHub Copilot solving and how is that benefiting you?** Copilot reduces the amount of repetitive coding I have to do, and it helps me move through projects much faster. ### 17. Great IntelliJ Inline Edits and Commit Messages, but a Slow, Frustrating UI **Rating:** 3.5/5.0 stars **Reviewed by:** Sai Kiran Reddy D. | Software Engineer, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** June 01, 2026 **What do you like best about GitHub Copilot?** I like the inline edits and that I can use it in my favorite IDE, IntelliJ. It was my first AI coding tool, and I also really appreciate the auto-generated commit messages from Copilot. **What do you dislike about GitHub Copilot?** The UI experience isn’t that great compared to other competitors like Cursour. It takes forever to make even simple changes, which makes the overall workflow feel slow and frustrating. **What problems is GitHub Copilot solving and how is that benefiting you?** Instead of spending hours on manual coding, developers can now focus on the problems they actually intend to solve, while the AI takes care of writing the repetitive, manual parts of the code. ### 18. Saves Time with In-IDE Docs and Stack Overflow Search **Rating:** 4.0/5.0 stars **Reviewed by:** Piyali D. | SEO Executive , Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** July 07, 2026 **What do you like best about GitHub Copilot?** Developers do not have to leave their IDE to look up documentation or search Stack Overflow. This helps to save time, brakes complex code for us to understand that easily. **What do you dislike about GitHub Copilot?** Sometimes it gives meaningless codes & sometimes wrong codes. **What problems is GitHub Copilot solving and how is that benefiting you?** It helps me to save time while coding. It helps save time and manual coding. Also this automates the creation of predictable, repetitive unit tests that developers often dislike writing. It speed up development by generating boilerplate code. ### 19. Fits Seamlessly into IDE and GitHub Workflows, Saving Time on Reviews **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** April 07, 2026 **What do you like best about GitHub Copilot?** What I like most is how it fits into both my development workflow and our review process. I use it in my IDE to help write code, suggest improvements, and even debug when I’m stuck, which saves a lot of time. We also use it as part of an automated GitHub workflow for code reviews, and it’s helpful in catching basic issues or suggesting changes early. It feels like having an extra pair of eyes, especially for repetitive or boilerplate-heavy tasks. **What do you dislike about GitHub Copilot?** The suggestions aren’t always accurate, especially for more complex logic or domain-specific code. You still need to review everything carefully, as it can sometimes produce code that looks right but isn’t fully correct. In code reviews, it’s useful but not a replacement for human context, it can miss the bigger picture or intent behind changes. **What problems is GitHub Copilot solving and how is that benefiting you?** It helps speed up development by reducing the time spent writing routine code and assisting with debugging. In reviews, it adds an extra layer of automated feedback, which helps catch small issues earlier and keeps things moving faster. Overall, it improves productivity without replacing the need for proper review and understanding. ### 20. Saves Time with Powerful Multi-File Project Editing **Rating:** 4.0/5.0 stars **Reviewed by:** Naph P. | Software Developer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** May 20, 2026 **What do you like best about GitHub Copilot?** The AI assistant saves a lot of time and has great features like the ability to operate on multiple files in a project, and plan and execute changes across the project files **What do you dislike about GitHub Copilot?** I don't like the weekly threshold that limits its usage, it tends to disrupt the workflow when you have major changes being implemented and all of a sudden, the operations are stopped because you have hit the usage limit **What problems is GitHub Copilot solving and how is that benefiting you?** The AI coding assistant is time saving because it is able to scan and make changes in multiple files during a single operation. ### 21. Boosts Productivity and efficiency with great integrations in your IT setup **Rating:** 4.0/5.0 stars **Reviewed by:** Purva K. | System Integration Specialist, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** April 07, 2026 **What do you like best about GitHub Copilot?** I like GitHub Copilot because it literally reduces my time on repetitive tasks, like refining my emails and suggesting my coding functions. I like that I can use GitHub Copilot to get an overview of a repository and understand the functionalities, which really helps when I’m looking for main files and functionalities. I love that I can access it inside Visual Studio Code. It immediately starts suggesting code and improving it for me. GitHub Copilot is especially useful in writing helper functions, validations, and logic. It’s great that I don't have to switch between tabs when I'm working because I can access it easily both from GitHub and Visual Studio Code. I appreciate the different models provided by Copilot as they really help a lot. I find the customer support and the community very helpful, and I feel like the platform is well-supported, which gives me trust when relying on it for development. I think GitHub Copilot is flexible and can be used by anyone, not just developers—it can help with sales data analysis or marketing strategies. It also helps me with documentation by providing outputs in a structured way. The initial setup was smooth and very straightforward, making it user-friendly and beginner-friendly. **What do you dislike about GitHub Copilot?** Sometimes the suggestions are not very up to date, especially with recent changes in API versions like Azure's. GitHub Copilot doesn't always have knowledge of the latest API updates, which can be problematic when working with new features or changes. Additionally, it requires a stable internet connection, which is a limiting factor. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot to reduce repetitive tasks, refine emails, improve coding functions, and understand repositories quickly, saving me time. ### 22. Speeds Up Coding with Accurate Suggestions **Rating:** 4.0/5.0 stars **Reviewed by:** hamna a. | Application Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** April 21, 2026 **What do you like best about GitHub Copilot?** I used GitHub Copilot to speed up coding by generating code suggestions, boilerplate, and function templates. I like how it quickly suggests useful code and helps me write faster with less effort. It’s helpful for quick solutions and learning new syntax. I also like how it understands context from my code and comments, making its suggestions feel relevant and helpful. The initial setup was very easy—just install the extension, sign in, and it’s ready to use. **What do you dislike about GitHub Copilot?** Sometimes the suggestions from GitHub Copilot are inaccurate or not optimized, so they need careful review. It could be more accurate, especially with a better understanding of complex, project-specific code. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot to speed up coding, generating code suggestions and templates quickly. It handles repetitive tasks, helps with syntax, and provides quick solutions, saving time. However, I review everything as suggestions can be inaccurate. ### 23. Copilot Accelerates Coding and Streamlines Issue Resolution **Rating:** 4.0/5.0 stars **Reviewed by:** Saif M. | Ph.D. Researcher, Small-Business (50 or fewer emp.) **Reviewed Date:** January 09, 2026 **What do you like best about GitHub Copilot?** I love the way Copilot helps me fix minor issues in my codebase quickly. Before using Copilot, I used to find out the workaround by copying the error message and finding a similar solution on Stack Overflow. Now, I mostly fix my code and generate skeleton code for a new implementation with Copilot. **What do you dislike about GitHub Copilot?** Sometimes, I have to be very specific or prompt multiple times to find out the correct workaround or solution to the problem I am facing. If Copilot had some sort of contextual understanding based on my whole repo, it would have been better. **What problems is GitHub Copilot solving and how is that benefiting you?** - Quick fixes for minor bugs - Generation of skeleton code based on the implementation plan - Refactoring code - Generate documentation in README or as doc strings of individual functions ### 24. Github Copilot—Easy to Use in VS Code **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.) **Reviewed Date:** March 23, 2026 **What do you like best about GitHub Copilot?** There are lots of models, but honestly the best thing for us has been the quotas. On our enterprise plan, we’ve only hit the quota and been put in a timeout once. We also really enjoy the breadth of models available, how easy it is to use in VS Code, and the amount of quota we receive as well—it’s been great. **What do you dislike about GitHub Copilot?** I think the flexibility of the models is really hard to get a handle on. For example, things like tool calling and enabling web search are pretty hidden behind the Co-Pilot interface. Another example is the 1m context token with the Claude models: you really can’t make many changes or decisions around that. **What problems is GitHub Copilot solving and how is that benefiting you?** We mainly use it as an internal coding tool alongside VS Code, and it helps us get a lot of work done. Most of our coding tasks—debugging and adding new features—are now handled through Copilot. ### 25. A booster for productivity, but the quality of advice needs improvement **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User | Mid-Market (51-1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about GitHub Copilot?** I like GitHub Copilot's context-aware suggestions the most. It doesn't just provide code suggestions for individual lines but also suggests for entire functions and logical structures. It quickly generates repetitive code and boilerplate implementation, saving a lot of time for us and developers. It is very helpful in creating automation scripts and test cases and assists in increasing productivity during development. **What do you dislike about GitHub Copilot?** Yes, many times GitHub Copilot suggests code with great confidence that appears technically correct but is not correct according to business logic. And in complex use cases, the quality of suggestions becomes inconsistent. The code you generate cannot be used without review; its verification is necessary. I do not keep it in full agenting mode, I still keep it in review mode and properly review whether to proceed or not. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot for coding, test automation development, script generation, and code suggestions, which helps in productivity and development speed. It quickly generates repetitive coding and boilerplate code, saving time for me and developers. ### 26. Helpful Auto-Suggestions and Snippet Fixes, But Struggles with Larger Code Changes **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Mid-Market (51-1000 emp.) **Reviewed Date:** July 07, 2026 **What do you like best about GitHub Copilot?** The auto-suggestions are really helpful, and the ability to fix specific code snippets works very well. Connecting with GitHub also makes it easier to create PRs and commit code. It also suggests changes across files which is a very nice feature, once we start writing to import any function/class. **What do you dislike about GitHub Copilot?** Auto suggestions are very helpful. Fixing a particular portion (snippets) of code works well, but when I try to apply the same fix by selecting the entire code, a whole file, or an entire project, it doesn’t work as intended, especially with larger codebases. **What problems is GitHub Copilot solving and how is that benefiting you?** In my daily coding, it has helped a lot by making the development process faster. I just need to write fewer lines, and later it also helps with writing almost all the code. ### 27. Great Code Improvements and Test Cases, but the User Experience Needs Work **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** June 18, 2026 **What do you like best about GitHub Copilot?** It improves my code and writes sample test cases very well. It also integrates seamlessly with Visual Studio Code and Visual Studio. **What do you dislike about GitHub Copilot?** Sometimes it gets stuck in a loop while reviewing code. Also, it’s a bit difficult to provide a local folder reference when we want to give Copilot the right context. Another issue is that when I ask it to avoid referencing an .md file(copilot-instructions file), it still ends up referring to the same file. **What problems is GitHub Copilot solving and how is that benefiting you?** It saves time when working on new implementations. It’s also helpful for debugging and for understanding existing business logic and technical configuration. ### 28. Boosts Productivity for Small Coding Tasks, but Repository Understanding Needs Work **Rating:** 4.0/5.0 stars **Reviewed by:** Mikki J. | Open Source Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** June 25, 2026 **What do you like best about GitHub Copilot?** It is a very helpful coding assistant for small features and functions and it increase my productivity **What do you dislike about GitHub Copilot?** I think it's not as advanced as some of the other coding agents like codex or claude code and does t understand repository that well **What problems is GitHub Copilot solving and how is that benefiting you?** It helps me with code suggestions and fixing my errors while doing coding projects ### 29. Efficient Code Writing with Great Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Mid-Market (51-1000 emp.) **Reviewed Date:** May 15, 2026 **What do you like best about GitHub Copilot?** I use GitHub Copilot for writing code, and it helps me to understand the large codebase very quickly. It can write code for me based on my given instructions, which I find really useful. I appreciate the feature that highlights the code changes and shows the diff, indicating what changes are being made. This means I don't have to go and look in every folder to see which file was changed, as it directly shows the files and folders in which changes were made and what exact change was done. The initial setup was very easy and smooth. **What do you dislike about GitHub Copilot?** I would love to have more features for code debugging as it doesn't show how it is trying to debug and sometimes starts hallucinations. It should have some capabilities to locally run a particular module and get the output. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot helps me understand large codebases quickly and writes code based on instructions. It highlights code changes, showing exactly where and what was changed, saving me from searching through folders. ### 30. A Trusted Coding Buddy That Helps Me Get Things Running Fast **Rating:** 4.0/5.0 stars **Reviewed by:** sandesh g. | UI/UX support engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 30, 2026 **What do you like best about GitHub Copilot?** It’s like a trusted coding buddy who helps me get things up and running. **What do you dislike about GitHub Copilot?** If I’m talking about its VS Code extensions, the history tracking could be more user-friendly. For example, if I need to open the history for a specific date, I still have to figure out how to find it. **What problems is GitHub Copilot solving and how is that benefiting you?** It helps with bug fixes, makes it easier to understand the project architecture, and extends support for working with the new Req Specs by integrating the AI Agent modules. ### 31. Boosts Coding Efficiency with Inline Suggestions **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Program Development | Small-Business (50 or fewer emp.) **Reviewed Date:** May 11, 2026 **What do you like best about GitHub Copilot?** I typically use GitHub Copilot for a variety of tasks, particularly appreciating how it handles repetitive coding. My favorite feature is its inline suggestions, which are incredibly speedy and context-aware. This greatly reduces my cognitive load and significantly boosts my productivity. I also found the initial setup to be very straightforward, as easy as logging into my GitHub account. Additionally, I switched from another tool to GitHub Copilot because it's superior. **What do you dislike about GitHub Copilot?** It doesn't usually have real-time updated tools doc knowledge, just like any other AI tools. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot to handle repetitive coding tasks, boost productivity with speed and context awareness, and reduce cognitive load. ### 32. Every Developer's must have wingman **Rating:** 4.0/5.0 stars **Reviewed by:** NaveenKumar S. | Associate Consultant, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** May 22, 2026 **What do you like best about GitHub Copilot?** I use GitHub Copilot in my team for assisting with code writing. It solves daily developer problems like repetitive coding by offering real-time suggestions. I really like the instant suggestions and how it reduces the need to switch between tabs for help. The code suggestions and support for multiple programming languages stand out to me. The initial setup was very easy, requiring just simple clicks. **What do you dislike about GitHub Copilot?** sometimes the code accuracy lags, sometimes integration with other environments feels inconsistent **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot helps solve daily developer problems like repetitive coding by offering real-time suggestions, reducing the need to switch between tabs for help. ### 33. GitHub Copilot: A Reliable Pair Programmer **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in E-Learning | Small-Business (50 or fewer emp.) **Reviewed Date:** February 02, 2026 **What do you like best about GitHub Copilot?** GitHub Copilot significantly boosts my productivity by suggesting relevant code in real time and cutting down on repetitive boilerplate. It integrates smoothly with my editor, understands the surrounding context well, and is particularly useful when I’m learning new languages, frameworks, or APIs. Overall, it feels like a reliable pair programmer that helps me move faster and stay in flow without constant interruptions. **What do you dislike about GitHub Copilot?** Copilot’s suggestions aren’t always accurate and can sometimes generate code with logical, security, or performance issues, so I still need to review everything manually. It also occasionally recommends outdated or less-than-optimal patterns, and the subscription cost can feel steep for individual developers or small teams. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot helps me cut down the time I spend on repetitive, routine coding tasks such as writing boilerplate, setting up functions, and remembering syntax or how to use specific libraries. Rather than constantly switching tabs to look things up, I can stay focused in my editor and keep moving. It’s also useful when I’m working with unfamiliar frameworks, since it suggests patterns and examples that help me understand what to do next, improving my development speed and overall efficiency. ### 34. Very useful and makes everything easier: a tool to enhance my talent **Rating:** 4.0/5.0 stars **Reviewed by:** Mauricio P. | Freelance director creativo, Small-Business (50 or fewer emp.) **Reviewed Date:** June 18, 2026 **What do you like best about GitHub Copilot?** it is very useful, it makes things easier for me, and it is a tool to improve my talent **What do you dislike about GitHub Copilot?** maybe it's not as popular as others **What problems is GitHub Copilot solving and how is that benefiting you?** help me correct or find information ### 35. Smooth Setup, Helpful Autocomplete, and Great for Boilerplate Code **Rating:** 4.0/5.0 stars **Reviewed by:** Ratnesh C. | Software Engineer III, Mid-Market (51-1000 emp.) **Reviewed Date:** April 21, 2026 **What do you like best about GitHub Copilot?** Auto complete of code from the comments. Side pannel to views multiple solutions is also good option to view all available solutions. Cost is similar to claude 20USD plan. It is also good for writing bioler plate code. Response is also good up to the mark for the feature which I am using. Setup is smooth. And integration is simple **What do you dislike about GitHub Copilot?** Result was not as good as claude code. It works with similar problems, but with I was able to handle complex work with less time. **What problems is GitHub Copilot solving and how is that benefiting you?** It is good for boilerplate code, auto fill code from comments. It works as a personal coding assistant which helps in writing code. ### 36. Boost Coding Speed with Contextual Suggestions **Rating:** 4.0/5.0 stars **Reviewed by:** Lucas V. | IT Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** January 17, 2026 **What do you like best about GitHub Copilot?** I like that GitHub Copilot understands the context of what I write and suggests relevant code in real-time, which allows me to program faster without having to leave VSCode to search on Stack Overflow or in the documentation. I also appreciate that it helps me write code faster by suggesting complete functions, assists me with syntax I don't remember well, and is especially useful with Node.js and Python in my personal and professional projects. It saves me time on repetitive and boilerplate code, and it's great for recalling API syntax that I don't use frequently. Additionally, it allows me to explore different solutions when I'm stuck and ensures that the generated code is consistent with my styles, respecting error handling patterns and the use of async await. **What do you dislike about GitHub Copilot?** Sometimes the suggestions are incorrect or do not compile, so I have to review them always. Also, the context is limited to the open files, it does not understand the entire architecture of the project. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot to write code faster, suggest complete functions, and remember syntax. It saves me time on repetitive and boilerplate code, helps explore solutions, and generates code consistent with my style, adapting to the context of the file. ### 37. The real Co-Pilot!! **Rating:** 4.0/5.0 stars **Reviewed by:** Jigar M. | Associate Quality Assurance Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 21, 2026 **What do you like best about GitHub Copilot?** Fast boilerplate code generator that also explains the code, which used to be a huge hassle before AI and code reviews in git !! **What do you dislike about GitHub Copilot?** does not understands business logic with accuracy , also while generating test scripts generates unstable locators **What problems is GitHub Copilot solving and how is that benefiting you?** As is said reduces boilerplate code , helps with syntax , suggestions directly when integrated into ide reduces context switching, git hub integrations saves a lot of hassle in code reviews and suggesting chnages which took a lot of time before reading and understanding the code ### 38. Boosts Coding Efficiency but Creates Excess Documentation **Rating:** 4.0/5.0 stars **Reviewed by:** Ruchin D. | Senior Research Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** January 09, 2026 **What do you like best about GitHub Copilot?** I like how easy GitHub Copilot is to use. Basically, I can just drag what I'm facing an issue with and directly chat with it to resolve the problem. It resolves everything in one place, making it easily available without needing to switch to other platforms like ChatGPT. This consolidation makes it a lot easier for me since everything is at one place, which simplifies the process and makes my life easier. **What do you dislike about GitHub Copilot?** Many times, when I want to do a simple change, GitHub Copilot creates multiple documentation files, which are unnecessary for small changes. It's a lot, especially when I'm in a hurry. Also, sometimes the logic it writes isn't correct, and I have to guide it, which feels very childlike at times and requires me to lay down my plans very specifically. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot quickly helps me write logic I don't want to deal with, understand project scope, document code, and draft test cases, saving me from intense mental effort. ### 39. Easy VS Code Sidebar Autocomplete, but Free Tier Lacks Advanced Features **Rating:** 3.5/5.0 stars **Reviewed by:** Aryan P. | First Year Representative, Small-Business (50 or fewer emp.) **Reviewed Date:** June 01, 2026 **What do you like best about GitHub Copilot?** The ease of use in the vs code sidebar, its very reliable for small tasks and the code autocomplete is top **What do you dislike about GitHub Copilot?** the free tear dosnt have powerful models, they dont have features like skills and custom instruction **What problems is GitHub Copilot solving and how is that benefiting you?** basic code problems mainly ### 40. Enhances Automation, Needs Better Precision **Rating:** 3.5/5.0 stars **Reviewed by:** Divyanshu S. | Senior Project Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** December 18, 2025 **What do you like best about GitHub Copilot?** I use GitHub Copilot for the creation and maintenance of automation frameworks. It helps in enhancing methods and optimizing patterns by making them compatible with the framework, following coding standards, and making the created methods reusable throughout pages. I also appreciate the parameterization, which applies as needed and covers all conditions for the best test coverage. The enhancement in framework design is particularly valuable to me, as it ensures that the methods are reusable and adaptable. **What do you dislike about GitHub Copilot?** It requires more than two or three prompts and sometimes gives general answers not compatible with the existing solution. Wherever a question is asked, the answer should be given and applied based on that. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot to enhance methods and optimize patterns in my automation framework. It helps make methods compatible with the framework, follow coding standards, and ensures they are reusable. It aids in creating methods that are reusable throughout, using parameterization for best test coverage. ### 41. Great Coding Partner, But Needs Smarter Context Awareness **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** December 09, 2025 **What do you like best about GitHub Copilot?** What I like best about GitHub Copilot is how effortlessly it fits into my coding flow. It feels less like an autocomplete tool and more like a coding partner that understands what I’m trying to build. It anticipates the next steps, suggests clean implementations, and helps me move faster without getting stuck on small details. Whether I’m writing boilerplate, exploring new libraries, or tackling more complex logic, Copilot consistently provides useful suggestions that save me time and keep me focused. **What do you dislike about GitHub Copilot?** The main thing I dislike about GitHub Copilot is that it can sometimes be a bit too eager with its suggestions. Occasionally it generates code that looks correct at first glance but needs adjustments to fit the specific context of my project. It’s not a big issue, but it does mean I have to double-check its output more carefully at times. Also, when working with newer libraries or very project-specific patterns, the suggestions can feel a little generic. Overall, it’s still extremely helpful, but there’s definitely room for improvement in context awareness. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot helps remove a lot of the friction that comes with day-to-day development. It speeds up writing boilerplate, reduces the time I spend searching for syntax or API details, and helps me quickly sketch out solutions when I’m exploring new ideas. It also keeps me in the flow by minimising context switching - rather than bouncing between docs, examples, and my editor, I can stay focused and let Copilot handle the repetitive or easily guessable parts. The result is a noticeable boost in productivity and a smoother overall coding experience, especially when working under tight deadlines or juggling multiple tasks. ### 42. Boosts Productivity with Contextual Code Suggestions **Rating:** 4.0/5.0 stars **Reviewed by:** Niraj O. | Software Engineer IIA, Enterprise (> 1000 emp.) **Reviewed Date:** December 11, 2025 **What do you like best about GitHub Copilot?** I like using GitHub Copilot for enhancing productivity and improving code quality. It helps me review my code and suggest improvements for making it cleaner and higher performing. I appreciate its ability to understand context by taking in multiple files and finding references across them efficiently. Its context-taking and referencing capabilities, along with a powerful LLM model trained by our own inputs and custom prompts, truly stand out. The ease of setting it up as an extension in VS Code is also a plus. **What do you dislike about GitHub Copilot?** I find the large code placement in the chat window not possible. When using ask mode, I need explicit code added in the same chat for reference provided to Copilot. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot for productivity and better code quality. It helps me review my code, suggest improvements for cleaner, high-performance code, and find references across files for effective code review and edits. ### 43. Boosts Developer Productivity with Flexible AI Models **Rating:** 4.0/5.0 stars **Reviewed by:** Diego P. | .NET Developer **Reviewed Date:** December 20, 2025 **What do you like best about GitHub Copilot?** I use GitHub Copilot for backend and frontend development. It helps me identify and interpret bugs faster, improving productivity by reducing the time spent on development tasks. I like that I can choose different types of AI models based on my needs and select how the Copilot works, whether in agent, debug, or ask mode. This feature helps me achieve my goals with fewer prompts, especially when working on different language projects. The setup was easy as GitHub Copilot is very intuitive, though I needed to learn how to build prompts and choose the right AI models. **What do you dislike about GitHub Copilot?** Sometimes the agent gets stuck and doesn't make it clear for the user whether it's frozen or still thinking. Also, the consumption info could be more detailed. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot helps me identify and interpret bugs faster, improving productivity by reducing time spent on development tasks. ### 44. Intuitive Tool for Repetitive Coding Tasks **Rating:** 4.0/5.0 stars **Reviewed by:** lakshya v. | Junior Software Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** January 08, 2026 **What do you like best about GitHub Copilot?** I use GitHub Copilot for helping in minor coding tasks that are repetitive, mainly with boilerplate code and JSON/data mutations. Its inline suggestions are of great use to me. I find it very easy to use, especially directly inside my VS Code. It also assists in generating commit messages. When I'm coding a feature, it takes context from the file I'm working on and generates suggestions. The initial setup was very easy. **What do you dislike about GitHub Copilot?** It needs to be more accurate at times, it sometimes generates rubbish code. More features like uploading images inside of VS Code only, voice commands etc. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot to handle repetitive coding tasks, generate boilerplate code, and provide inline suggestions. It helps with JSON/data mutations and creates commit messages, making it easier to work within VS Code. ### 45. Ideal for agent-based programming with models from other providers **Rating:** 4.0/5.0 stars **Reviewed by:** Carlos Mario H. | Software engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** April 10, 2026 **What do you like best about GitHub Copilot?** For agent-based programming with models from other providers, I would also like to be able to integrate it within VS Code. **What do you dislike about GitHub Copilot?** Sometimes using the models is slower than using the provider directly. **What problems is GitHub Copilot solving and how is that benefiting you?** Develop software, creating new features and maintain the code of the applications that clients use ### 46. Helpful Test Instances and Examples for Covering More Scenarios **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** July 21, 2026 **What do you like best about GitHub Copilot?** Gives instnces & example to test all scenarios **What do you dislike about GitHub Copilot?** there is no direct export feature from the code console. And formatting changes when you copy paste **What problems is GitHub Copilot solving and how is that benefiting you?** code creation eliminating errors quick generation with tweaks & recommendations ### 47. One of the best AI Copilot tools on the market, though it still needs some improvements. **Rating:** 3.5/5.0 stars **Reviewed by:** Carlos Osvaldo C. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 02, 2025 **What do you like best about GitHub Copilot?** I love the entire GitHub Copilot ecosystem. The integration between GitHub and VS Code is wonderful. Creating issues directly from VS Code or opening a pull request from an issue is an excellent way to boost team productivity. **What do you dislike about GitHub Copilot?** I think the VS Code Copilot extension needs some improvements. Its RAM consumption is high, and its response time is slower compared to tools like Windsurf or Cursor. **What problems is GitHub Copilot solving and how is that benefiting you?** As an AI Copilot, GitHub Copilot does an excellent job assisting with coding. I’ve seen consistent improvements across almost all of my coding sessions. It accelerates repetitive tasks, reduces boilerplate, and often suggests accurate solutions before I even finish typing. Beyond simple autocompletion, it adapts to context, understands patterns in my codebase, and helps me maintain consistency in style and logic. This makes it not only a coding assistant but also a productivity multiplier. ### 48. Efficient but Needs Stability Improvements **Rating:** 4.0/5.0 stars **Reviewed by:** mohamed f. | DevOps/cloud Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** January 10, 2026 **What do you like best about GitHub Copilot?** I find GitHub Copilot pretty good and very fast. I appreciate how it always solves the problem in correct ways, even though sometimes it makes mistakes. With refined prompts, it's working very well. The agent mode is very useful for me; it starts to create code and fixes bugs very fast, providing feedback and thoughts, which is great. **What do you dislike about GitHub Copilot?** I find that when working in agent mode, it takes too much time, and sometimes it might not be stable. It requires more tokens, and while being worked on, it stops suddenly, which means I have to restart again. **What problems is GitHub Copilot solving and how is that benefiting you?** I use GitHub Copilot to move forward faster in software development, solving problems and creating code for clients. It helps me develop web applications and fix bugs efficiently. ### 49. Easy GitHub & VS Code Integration, ok Code Review Results **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** July 07, 2026 **What do you like best about GitHub Copilot?** It really easy to integrate around Github itself and it works great on Visual Code. **What do you dislike about GitHub Copilot?** It does not provide the best results when requesting code reviews. **What problems is GitHub Copilot solving and how is that benefiting you?** * Code reviews on Github * Dependency vulnerability related updates ### 50. Effective Coding Assistant with Room for Improvement **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** February 26, 2026 **What do you like best about GitHub Copilot?** I find GitHub Copilot to be qualitatively better, and I like that it’s integrated with Visual Studio Code. It helps a lot by understanding the context of my project and then generating the most relevant tests accordingly. It also assists me while I’m coding, and I’ve found the initial setup to be very easy. **What do you dislike about GitHub Copilot?** It sometimes hallucinates and can get stuck in its own loop. **What problems is GitHub Copilot solving and how is that benefiting you?** GitHub Copilot helps me write tests and debug more efficiently. It understands the context of my project, which makes it easier to generate effective tests, and it integrates smoothly with Visual Studio Code. ## GitHub Copilot Discussions - [How do you handle incorrect or irrelevant suggestions in GitHub Copilot?](https://www.g2.com/discussions/how-do-you-handle-incorrect-or-irrelevant-suggestions-in-github-copilot) - 4 comments, 1 upvote - [View GitHub Copilot pricing details and edition comparison](https://www.g2.com/products/github-copilot/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-01+12%3A03%3A12+-0500&secure%5Bsession_id%5D=ab82de5e-d38d-4053-ad6a-cecc7894a548&secure%5Btoken%5D=2d460ce24cc79d84fd8e393c870ed5f0c21f37ba597b41518b5f6d52aa4bf86b&format=llm_user) ## GitHub Copilot Integrations - [Amazon Simple Notification Service (SNS)](https://www.g2.com/products/amazon-simple-notification-service-sns/reviews) - [Amazon Simple Queue Service (SQS)](https://www.g2.com/products/amazon-simple-queue-service-sqs/reviews) - [Android Studio](https://www.g2.com/products/android-studio/reviews) - [AWS Auto Scaling](https://www.g2.com/products/aws-auto-scaling/reviews) - [AWS CloudFormation](https://www.g2.com/products/aws-aws-cloudformation/reviews) - [Azure DevOps Server](https://www.g2.com/products/azure-devops-server/reviews) - [Azure Portal](https://www.g2.com/products/azure-portal/reviews) - [Bitbucket](https://www.g2.com/products/bitbucket/reviews) - [Chocolatey](https://www.g2.com/products/chocolatey/reviews) - [Claude Code](https://www.g2.com/products/anthropic-claude-code/reviews) - [Confluence](https://www.g2.com/products/confluence/reviews) - [Cursor](https://www.g2.com/products/cursor/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - [Eclipse](https://www.g2.com/products/eclipse/reviews) - [Figma](https://www.g2.com/products/figma/reviews) - [GitHub](https://www.g2.com/products/github/reviews) - [GitLab](https://www.g2.com/products/gitlab/reviews) - [IntelliJ IDEA](https://www.g2.com/products/intellij-idea/reviews) - [Jira](https://www.g2.com/products/jira/reviews) - [Lucid Visual Collaboration Suite](https://www.g2.com/products/lucid-software-inc-lucid-visual-collaboration-suite/reviews) - [Microsoft Edge](https://www.g2.com/products/microsoft-edge/reviews) - [Microsoft Outlook](https://www.g2.com/products/microsoft-outlook/reviews) - [Microsoft Teams](https://www.g2.com/products/microsoft-teams/reviews) - [Node.js](https://www.g2.com/products/node-js/reviews) - [Odoo ERP](https://www.g2.com/products/odoo-odoo-erp/reviews) - [OpenRouter](https://www.g2.com/products/openrouter/reviews) - [Playwright](https://www.g2.com/products/playwright/reviews) - [PyCharm](https://www.g2.com/products/pycharm/reviews) - [Slack](https://www.g2.com/products/slack/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [SonarQube](https://www.g2.com/products/sonarqube/reviews) - [Toku for Microsoft Teams](https://www.g2.com/products/toku-for-microsoft-teams/reviews) - [Vercel](https://www.g2.com/products/vercel/reviews) - [Visual Studio](https://www.g2.com/products/visual-studio/reviews) - [Visual Studio Code](https://www.g2.com/products/visual-studio-code/reviews) - [WebStorm](https://www.g2.com/products/webstorm/reviews) - [Xcode](https://www.g2.com/products/xcode/reviews) ## GitHub Copilot Features **Functionality** - Accuracy - Input processing - Interface - Code quality **Functionality - AI Coding Assistants** - Contextual Relevance - Code Optimization - Proactive Error Detection **Performance - AI AppSec Assistants** - Remediation - Real-time Vulnerability Detection - Accuracy **SDK Architecture & Libraries - AI SDK** - Modular SDK Components - Cross-Platform SDK Support - Client Libraries **Support** - Community - Update schedule - Documentation **Usability - AI Coding Assistants** - Collaboration - Integration - Speed - Interface **Integration - AI AppSec Assistants** - Stack Integration - Workflow Integration - Codebase Contextual Awareness **Model Integration - AI SDK** - Multi-Model Integration - Streaming & Real-Time Responses - Model API Wrappers **Agentic AI - AI Code Generation** - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Application Development - AI SDK** - SDK Extensibility - AI Workflow Abstractions - Agent & Tool Invocation Frameworks **Deployment & Operations - AI SDK** - Logging & Observability - Authentication & Access Management - Error Handling & Retry Logic ## Top GitHub Copilot Alternatives - [Tabnine](https://www.g2.com/products/tabnine/reviews) - 4.1/5.0 (59 reviews) - [Gemini](https://www.g2.com/products/google-gemini/reviews) - 4.4/5.0 (364 reviews) - [ChatGPT](https://www.g2.com/products/chatgpt/reviews) - 4.6/5.0 (2,713 reviews)