--- description: Get information about GitHub Copilot price, usability & features from verified user experiences. Read reviews from Indian business users & discover similar tools. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: GitHub Copilot Price, Features, Reviews & Ratings - Capterra India --- Breadcrumb: [Home](/) > [Generative AI Tools](/directory/34155/generative-ai/software) > [GitHub Copilot](/software/1051539/copilot) # GitHub Copilot Canonical: https://www.capterra.in/software/1051539/copilot Page: 1 / 3\ Next: [Next page](https://www.capterra.in/software/1051539/copilot?page=2) > Copilot uses advanced AI algorithms to suggest code and entire functions to users in real-time, right from their editor. > > Verdict: Rated **4.6/5** by 45 users. Top-rated for **Likelihood to recommend**. ----- ## Overview ### Who Uses GitHub Copilot? Coders and Engineers ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.6/5** | 45 Reviews | | Ease of Use | 4.8/5 | Based on overall reviews | | Customer Support Software | 3.8/5 | Based on overall reviews | | Value for Money | 4.3/5 | Based on overall reviews | | Features | 4.5/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 Likelihood to recommend) | ## About the vendor - **Company**: Microsoft - **Location**: Redmond, US - **Founded**: 1975 ## Commercial Context - **Starting Price**: $0.00 - **Pricing model**: (Free version available) - **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+ - **Deployment & Platforms**: Cloud, SaaS, Web-based - **Supported Languages**: English - **Available Countries**: United States ## Features - Content Generation - Data Augmentation - Natural Language Processing - Simulation and Scenario Generation ## Category - [Generative AI Tools](https://www.capterra.in/directory/34155/generative-ai/software) ## Alternatives 1. 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Customer support is great and Microsoft recently a free workshop in London to highlight how Copilot can be utilised. > > **Cons**: I don't really find many issues with GitHub Copilot. It is a very usable product and is understood my many developers. > > Overall, I think GitHub Copilot is a great addition not only to Github itself, but to the wider community with great IDE integration. ----- ### "From Idea to Prototype in Hours: A Solo Developer’s Secret Weapon" — 5.0/5 > **Jerrid** | *13 April 2026* | Computer Software | Recommendation rating: 10.0/10 > > **Pros**: My preferred aspect of GitHub Copilot is its ability to significantly shorten the path from a client’s initial idea to a functional prototype. I can start with a vague concept or a concise brief, and Copilot helps me scaffold the structure, integrate core flows, and iterate directly in Visual Studio Code, all while minimizing boilerplate code. The most substantial benefit for me is its support for custom agents, sub-agents, skills, workflows, and the Model Context Protocol (MCP). It feels less like mere “auto-complete for code” and more like an adaptable toolkit tailored to my development process. For instance, I set up specialized agents for testing, refactoring, or integration tasks—ensuring the client receives a reliable, bug-free prototype more quickly—and then assemble them into repeatable workflows for new client projects. This level of customization allows me to dedicate more time to product conceptualization and strategy and less to repetitive setup. > > **Cons**: My biggest issue with GitHub Copilot is its limited support options. Even with a subscription, my main avenue for direct assistance seems to be submitting a ticket, which often takes weeks or more to get a reply. Although community forums are useful, the absence of immediate support channels like phone or live chat is very frustrating. Since Copilot plays a crucial role in accelerating my daily tasks, slow and disconnected support becomes a significant obstacle. > > Before using GitHub Copilot, developing a client prototype as a solo developer required extensive manual, repetitive work. Each project began with the same tasks: establishing the basic structure, configuring routing and navigation, creating placeholder screens, setting up build tools, and writing boilerplate code for forms, APIs, and state management. This setup often took several days before I could address the unique aspects of the client’s idea. As a result, I was limited in the number of projects I could handle each week and found it challenging to quickly present clients with tangible progress. The transition to the tool was incredibly seamless. Implementation was straightforward right out of the box; the documentation is excellent, supported by community blogs and YouTube videos. You can even use the Copilot Agent itself to guide you through the initial onboarding. Because of its flawless integration with my VS Code environment, the initial development phase is vastly more efficient. Rather than spending most of my time on scaffolding, I describe the project and have Copilot generate the initial structure. The sheer number of features—especially advanced capabilities like custom agents and sub-agents—takes this a step further. Despite the tool’s power, the ease of use remains high. I can set up agents specialized for different parts of my workflow—one focused on refactoring, another on testing, and another on integration—and chain them into repeatable workflows. For example, after getting a first version of a feature working, I can run a workflow that reviews the code, suggests refactors, and generates tests without leaving my editor. In practical terms, this has had a measurable impact on my business. Because it solves so many friction points, my frequency of use is incredibly high—I rely on it every single day. A working prototype that might have taken several days can often be produced within a day, sometimes even within a few focused hours. That means I can iterate more often with clients, sharing an early version in the next meeting or even the same day. Overall, while the direct customer support relies on a slow ticketing system (as mentioned in my dislikes), the platform itself helps me solve three massive problems: the time required for initial project scaffolding, the friction of repetitive coding, and the overhead of switching context. The ultimate benefit is a much faster idea-to-prototype cycle, more frequent feedback from clients, and a higher baseline of code quality—even as a solo developer on tight timelines. ----- ### "Great for Students\!" — 3.0/5 > **Soren** | *13 February 2026* | Computer Software | Recommendation rating: 7.0/10 > > **Pros**: As a student, Github copilot was affortable and great in use for collaborate with my classmates. It was helpful providing adjustments to my work. > > **Cons**: The applications generation tools were not fully developed and often left me seeking other platforms like chat GPT > > GitHub Copilot is great for any student in pursuit to learn and understand more about software, to seek comprehensive solutions. ----- ### "Helpful Coding Assistant" — 4.0/5 > **Osama** | *21 January 2026* | Government Administration | Recommendation rating: 10.0/10 > > **Pros**: It is very helpful for writing code and reduce the chance of repetition of code. It gives useful suggestions and helps with syntax. Good for learning new programming patterns > > **Cons**: Sometimes code suggestions do not match exact requirement. Subscription cost feels high for beginners. > > Overall experience is positive. It improves productivity and helps to speed up tasks. It is a useful assistant, especially for programmers. ----- ### "A Powerful AI Assistant That Speeds Up Everyday Development" — 4.0/5 > **Verified Reviewer** | *21 April 2026* | Information Technology & Services | Recommendation rating: 10.0/10 > > **Pros**: What I like most about GitHub Copilot is how much it speeds up coding, especially for repetitive or boilerplate tasks. The code generation is where it really stands out—it can suggest full lines or even entire functions based on a simple comment, which saves a lot of time during development. In terms of ease of use, it’s very straightforward. It works directly inside the IDE, so you don’t have to switch tools or change your workflow. Most of the time it just feels like an advanced autocomplete that understands what you’re trying to do. From a value-for-money perspective, it’s quite good if you code regularly. Even small productivity gains add up quickly, and for developers working daily, it can easily justify the cost. Customization is another strong point. You can tailor its behavior using custom instructions or prompts to better match your coding style, team standards, or project requirements. This makes it more useful over time as it adapts to how you work. Customer support is decent, and there’s a lot of documentation and community content available. In practice, most issues can be resolved through docs or forums rather than direct support. While GitHub Copilot is mainly focused on code generation, it also helps with things like explaining code, writing tests, and generating documentation, which adds to its overall usefulness. However, features like video creation or image generation are not really its focus. Overall, it significantly improves productivity and reduces the time spent on routine coding tasks, making it a valuable tool for everyday development. > > **Cons**: One of the main downsides of GitHub Copilot is that it’s not always accurate, especially when working with more complex logic. It can sometimes suggest code that looks correct at first but needs careful review because it may contain small mistakes or assumptions that don’t fully match the context. Another issue is that it doesn’t always understand the full structure of larger codebases. In bigger projects, the suggestions can feel a bit disconnected or not fully aligned with existing architecture, which means you still need to manually adjust a lot of the output. Performance can also vary. Sometimes suggestions come instantly and are very helpful, but other times it feels less responsive or less relevant, which interrupts the flow a bit. There are also some limitations with deeper understanding of business logic or project-specific rules, so it works best as an assistant rather than something you can fully rely on. Overall, it’s useful, but it still requires a lot of developer oversight to make sure everything is correct and production-ready. > > Overall, my experience with GitHub Copilot has been very positive. It’s become a useful daily tool for speeding up development work and reducing the amount of repetitive coding I need to do. The biggest strength is definitely code generation. It helps with boilerplate code, function suggestions, and even test cases, which saves a lot of time during development. Over time, it feels like it learns the context of what you’re working on and becomes more helpful. In terms of ease of use, it’s very simple to get started. It integrates directly into the IDE, so there’s no need to change your workflow or switch between tools. It just works in the background and suggests code as you type. From a value for money perspective, it’s quite good if you code regularly. The time saved on repetitive tasks and faster development speed makes it worth the cost in most cases. Customization is also useful to some extent—you can guide its behavior with prompts or instructions, which helps it better match your coding style or project needs. Customer support is okay, but most issues are usually resolved through documentation or community discussions rather than direct support. One limitation is that it’s not always perfect with complex logic or large codebases, so you still need to carefully review and adjust the generated code. It’s best seen as an assistant rather than a replacement for actual development thinking. Features like video creation or image generation are not part of Copilot’s scope, so it’s purely focused on code-related tasks. Overall, it significantly improves productivity and makes development faster and more efficient, especially for everyday coding tasks and repetitive work. ----- Page: 1 / 3\ Next: [Next page](https://www.capterra.in/software/1051539/copilot?page=2) ## Links - [View on Capterra](https://www.capterra.in/software/1051539/copilot) ## This page is available in the following languages | Locale | URL | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | ----- ## Structured Data