GitHub Copilot
Get an unbiased GitHub Copilot review, covering everything from, code suggestions to workflow improvements. And find out whether GitHub Copilot has truly transformed my programming or not.
GitHub Copilot Review: Is it the Best AI Code Assistant?
Large Language Models, or LLMs, are sweeping the tech space with the advanced capability of generating code. And if you’re a web/app developer, you might have already heard about GitHub Copilot. It’s an AI-powered coding assistant that boosts productivity and makes coding faster and easier.
But is it that capable? I’ve personally spent some time using Copilot in my projects, and it’s pretty cool. To me, it brought in that ease. I just wrote a comment explaining my logic, and guess what? It automatically generated code suggestions in real-time.
If you’re someone who is already boggling their head with questions like - whether the code it suggests is reliable and secure? And if it’s worth the subscription cost? Buckle up and worry not! In this honest review, I’ll share my experience about its pros, where I hit hurdles, and whether Copilot is the ultimate AI coding assistant you’ve been waiting for all this time, and more.
Pros and Cons of GitHub Copilot
Pros
- Provides real-time and prompt coding suggestions
- Automates coding tasks and becomes accurate over time as it adapts to your coding style
- Provides reliable coding hints and auto-completion features to help developers finish tasks at speed
- Allows seamless modifications for multiple files with just one code
- Offers multi-language programming support for developers working across diverse
Cons
- Requires developer verification, as suggestions might not align with your vision
- It lacks proficiency in navigating through an unclear codebase and disorganised files, which can lead to suboptimal AI suggestions
- Free credits exhaust soon, especially during long coding sessions, and might require subscriptions too soon
- Poor customer support
- May generate code with security flaws or use copyrighted code without proper attribution
Quick Start with Copilot GitHub
You can begin your coding journey with GitHub Copilot AI by following these steps.
Step 1: Open the GitHub Copilot website on your screen.
Step 2: Log in or sign up for your GitHub Copilot account by clicking on the ‘login’ and ‘sign up’ options displayed in the top left corner of the homepage.
Step 3: Get started by giving your prompts regarding what you want to code.
Step 4: Check the results and recommend the edits you want.
Helpful read - How To Code An App?
Standout GitHub Copilot Features
Now that you know, coding can be made easy with GitHub Copilot, let’s have a quick look at some of the most talked-about features of Copilot AI here.
1. Auto-Complete Code
With Copilot AI, you can begin with just a few keystrokes because it offers hints and makes some suggestions as you type your code. Next, you can even describe the changes you want using natural language in comments, and Copilot can quickly make edits accordingly, even predict your next location to edit. This will enable your developers to make rapid progress in their coding tasks.
2. Easy Integration With Multiple IDEs
To ease your coding experience, GitHub Copilot can even integrate with multiple Integrated Development Environments (IDEs) hassle-free. These include Visual Studio Code, JetBrains IDEs, and Neovim. This flexibility of Copilot AI enables developers to integrate it into their existing workflows, regardless of their preferred coding environment. You can even get real-time code suggestions within the IDE to boost productivity and streamline the coding process.
3. GitHub Chat
GitHub Chat was another feature I truly appreciated that Copilot AI offered. Through it, you can type your queries and concerns and seek assistance, suggestions, and explanations of any code process. For example, you can even ask for bug fixes for any code.
4. Copilot Coding Agent
Copilot AI offers an easy coding agent where you can raise an issue about making coding changes, and a GitHub agent will work by processing those changes for you. Next, the agent can also make a pull request for you to review those changes.
5. Pull Request Summaries
I always struggle to track changes, so for me, GitHub worked out! Through it, you can pull a request summary to review and understand the entire changes made. GitHub Copilot will review all pull requests to provide an overview of all the changes it has impacted, often in a bulleted list.
6. Copilot Workspace
Did you know that you could personalise your coding environment, tailored to your project requirements? Yes! GitHub Copilot understands the context of your entire codebase and provides more accurate and relevant suggestions as you work. This means you get smarter project completions and assistance that align with your exact project's structure and style.
7. Multi-Language Support
Another feature that GitHub Copilot impresses with is its multilingual support. Whether you’re coding in Python, JavaScript, TypeScript, Ruby, Go, or even some other languages, Copilot has you covered. This versatility makes it a reliable assistant for developers working across different programming environments and projects.
Understanding GitHub Copilot Pricing
Honestly, I found that Copilot GitHub isn’t very expensive. For beginners, you can get started with Copilot for free, including 50 free premium requests. Moving forward, you can also upgrade to other individual and business projects like Copilot Pro, Copilot Pro+, Copilot Enterprise, and Copilot Business. All of these Copilot AI paid plans can charge you anywhere from $10 to $39 per month. Let’s have a closer look at its individual and business plans -
1. Business Plan for GitHub Copilot
| Business | Enterprise |
|---|---|
| $19 per month | $39 per month |
| - Unlimited agent mode and chats with GPT-4.11 - Access to code review, Claude 3.5/3.7/4 Sonnet, Gemini 2.5 Pro, and more - 300 premium requests to use the latest models per user, with the option to buy more - User management and usage metrics - IP indemnity and data privacy | Everything in Business and: - Access to Claude Opus 4, o3, and GPT-4.5 - 3.33x more premium model requests than Business plan, with flexibility to purchase more - Coding agent feature for autonomous programming and multi-step coding tasks |
2. Individual Plan for GitHub Copilot
| Free | Pro | Pro+ |
|---|---|---|
| $0 | $10 per month | $39 per month |
| - 50 agent mode or chat requests per month - 2,000 completions per month - Access to Claude 3.5 Sonnet, GPT-4.1, and more | Inclusive of Pro benefits and: - Unlimited agent mode and chats with GPT-4.11 - No limit on code completions - Includes access to code review, Claude 3.7/4 Sonnet, Gemini 2.5 Pro, and more - 6x more premium requests than Copilot Free to use the latest models, with the option to buy more | Inclusive of Pro benefits and: - Access to all models, including Claude Opus 4, o3, and GPT-4.5 - Pro+ offers 30x premium requests than Copilot Free |
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- Products Reviewed - 4,000+
- No. Of Experts - 20+
- Categories - 65+
Customer Reviews
How was your experience with the product?
To help you make a decision and form a comprehensive understanding about GitHub Copilot, let’s look at what different users have to say.
“ Never pay for any higher GitHub Copilot packages, as you can see from other comments, they are just not worth paying. I even think they
“ I really love GitHub. What they grant me as a free user is more than generous, and I also happily paid for 2 years of
“ Are you even a coder? If you haven't ever used GitHub?So, I just start the projects from the app if I like any, and Git
“ Never buy a GitHub Copilot subscription higher than free, as you can see from other comments. They immediately charged me for the free trial 10USD,
“ I would say that GitHub is an essential tool for developers, with great version control, collaboration, and open-source hosting. The integration with CI/CD pipelines and
Mobile App Daily’s POV on GitHub Copilot
After extensive discussions with my development team at MobileAppDaily, I decided to introduce GitHub Copilot for review, and the results have been impressive. The team was genuinely thrilled by how it accelerated their coding process at 5x speed with real-time outputs. They simply explained their logic in comments and completed their coding tasks much before the time.
The team also mentioned that the auto-completion feature, which adapts to their coding style, was an added benefit. In our own projects at Mobile App Daily, we found this feature cut down boilerplate for new React components by an estimated 30%. Our team tested it across various programming languages, Our team tested this across Python, JavaScript, and Swift, and found its proficiency in JavaScript to be particularly impressive.
However, I must be honest that while Copilot excels at generating boilerplate code and simple utility functions, it sometimes falls short in incorporating logic to solve unique problems. It can boost productivity, but it doesn't quite replace the need for skilled engineers. In-house developers remain an essential resource to ensure that AI's suggestions align with the broader goals and vision of their projects.
At MobileAppDaily, we firmly believe that integrating AI tools like Copilot into software development can lead to transformative changes for businesses. It has the potential to elevate coding practices and improve overall quality outcomes, but it works well only when complemented by human expertise for harnessing the maximized benefits.
FEATURE
Strong AI tools for upscaling, with auto-complete code, easy integration with IDEs, GitHub chat, and more.
PRICING
Offers a free plan with 50 agent mode, and the paid plan begins at just $10/month.
PERFORMANCE
Generally smooth but unclear code base and files, generates poor AI suggestions.
USER EXPERIENCE
Clean, intuitive design with easy navigation. But coding requires review and verification. Also, users need to review coding and have expressed frustration with billing issues.
GitHub Copilot Security & Data Privacy
Understandably, when you are evaluating an AI coding assistant, security and data privacy aren’t nice-to-haves—they’re deal-breakers. For developers, team leads, and decision-makers alike, the question is, "If it’s safe to use with our codebase?"
Here’s how GitHub Copilot addresses your top concerns:
1. Does Copilot train on my private code?
No, especially for Copilot Business and Enterprise users. GitHub has made it clear: private code is not used to train the underlying models. This means your proprietary logic, sensitive IP, or unique architecture stays yours. It’s fully protected from model training or cross-contamination.
2. Can Copilot suggest vulnerable or non-compliant code?
It can, like any tool that draws from public examples. But Copilot includes a “suggestions matching public code” filter, which helps identify and block exact or near-exact snippets that match open-source repositories. This filter can help you minimize legal and security risks while encouraging teams to review suggestions just like any external dependency.
3. What is “IP Indemnity” and why does it matter?
GitHub Copilot’s IP Indemnity, available under the Business plan, offers legal protection against intellectual property claims related to Copilot’s code suggestions. This is important for companies because GitHub can share liability in case a suggestion leads to an IP dispute, helping de-risk adoption for organizations that operate in sensitive or competitive industries.
GitHub Copilot Alternatives
We also compared GitHub Copilot with 5 of its other options. Here’s a list of their price plans and some of the key features they offer.
| Name | Price Plan | Key Features |
|---|---|---|
| Windsurf | Free tier available; Paid plans start at $15 per seat/month | Best suited for enterprise environments where tight GitHub integration and code intelligence across vast monorepos are critical—ideal for teams managing massive codebases. |
| Tabnine | Free trial for 30 days; Paid plans start at $9/month | Privacy-focused; ideal for organizations with strict self-hosting needs, as its on-premises option ensures code never leaves your private network. |
| Replit Ghostwriter | Free tier; Paid plans from $20/month | Optimized for beginner to intermediate developers—offers real-time AI coding help within an in-browser IDE with no setup or friction. |
| Amazon CodeWhisperer | Individual plan is free; Professional is $19/user/month | Great for teams invested in AWS, with suggestions finely tuned for AWS services and APIs. |
| Sourcegraph Cody | Premium plans start at $19/month/user | Best for environments where deep codebase understanding is key—leverages entire code graphs, including private repos, for contextual, repo-aware answers. |
Conclusion
GitHub Copilot isn’t just another coding assistant—it’s a game-changing innovation in software development. It enhances productivity, provides real-time code suggestions, and supports a wide range of programming languages, among other features.
It offers auto-completion features and adaptability to individual coding styles. Honestly, it does have certain challenges, such as still lacking the ability to perform advanced or unique problems, and may be limited to boilerplate. Moreover, you may still need human expertise to ensure the output aligns with the project's vision.
However, GitHub Copilot is a tool worth considering. It’s not very expensive, and utilizing this technology can empower developers to focus on creativity and innovation while delegating repetitive tasks to AI.
What is GitHub Copilot used for?
Our reviewers primarily use GitHub Copilot in the following areas:
GitHub Copilot
Frequently Asked Questions
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What is GitHub Copilot?
GitHub Copilot is an AI coding assistant that helps you write code faster by providing real-time suggestions and auto-completions through coding hints. Its suggestions become accurate over time as it adapts to your coding style.
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Which IDEs does GitHub Copilot support?
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Does Copilot support multiple programming languages?
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Can GitHub Copilot replace a human coder?
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Is GitHub Copilot suitable for beginners?
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What is the cost of using GitHub Copilot?
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