# GitHub Copilot Software Pricing, Alternatives & More 2026 | Capterra

> With the help of Capterra, learn about GitHub Copilot Software - reviews, pricing plans, popular comparisons to other Generative AI products and more.

Source: https://www.capterra.com/p/10011215/Copilot

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# 

 GitHub Copilot Software Review 2026: Features, Integrations, Pros & Cons

Last updated on March 13, 2026

Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team.

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[Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[Features](#features)[Pricing](#pricing)[Support](#support)[Reviews](#reviews)

GitHub Copilot

## What is GitHub Copilot?

Developed by GitHub in partnership with OpenAI, Copilot uses advanced AI algorithms to suggest code and entire functions to users in real-time, right from their editor. Trained on billions of lines of code across dozens of programming languages, GitHub Copilot rapidly turns natural language prompts into coding suggestions. This makes it incredibly easy for developers worldwide to code faster, focus on business logic over boilerplate, and, ultimately, build great software with ease.

## What is GitHub Copilot used for?

[Generative AI](https://www.capterra.com/generative-ai-software/)

Overall rating

Based on 44 user reviews

Reviews sentiment

Positive

93%

Neutral

5%

Negative

2%

Contact vendor  
for pricing

Free trial  
not available

Capterra Shortlist charts the highest-rated and most popular products...

Our "Best of" badge program showcases products with the highest ratings...

Our "Best of" badge program showcases products with the highest ratings...

Do you work for GitHub Copilot?[Manage this product listing](https://digitalmarkets.gartner.com/get-listed/claim-bx?url=http://www.microsoft.com&name=GitHub Copilot)

## Compare with a popular alternative

Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status.

### GitHub Copilot

4.6 (44)

VS.

[### Blaze](https://www.capterra.com/p/10013921/Blaze/)

[4.8 (721)](https://www.capterra.com/p/10013921/Blaze/reviews/)

Starting Price

Contact vendor

Starting Price

$39

Flat Rate, Per Month

Free Trial

Free Version

Pricing Options

Free Trial

Free Version

Ease Of Use

4.8 (44)

Ease Of Use

4.6 (721)

Value For Money

4.3 (32)

Value For Money

4.6 (704)

Customer Service

3.9 (27)

Customer Service

4.7 (642)

## GitHub Copilot alternatives

[Replit](https://www.capterra.com/p/10011212/Replit/)

[4.4 (156)](https://www.capterra.com/p/10011212/Replit/reviews/)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

89%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/10011212/Replit/)

[1min.AI](https://www.capterra.com/p/10020011/1min-AI/)

[4.7 (473)](https://www.capterra.com/p/10020011/1min-AI/reviews/)

Starting price

$5.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

98%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/10020011/1min-AI/)

[ChatGPT](https://www.capterra.com/p/10009334/ChatGPT/)

[4.4 (349)](https://www.capterra.com/p/10009334/ChatGPT/reviews/)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

89%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/10009334/ChatGPT/)

[NightCafe](https://www.capterra.com/p/255557/NightCafe/)

[4.7 (83)](https://www.capterra.com/p/255557/NightCafe/reviews/)

Starting price

$5.99

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

94%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/255557/NightCafe/)

[View all alternatives](https://www.capterra.com/p/10011215/Copilot/alternatives/)

## Features

Features with the highest number of reviews are displayed first. Those that have no reviews appear next, sorted alphabetically.

Code Generation

4.6 (32)

100.00% of 32 reviewers that rated this feature as important or highly important

Generate new programming code by utilizing natural language prompts and provide suggestions to complete partially written code

Natural Language Processing

4.5 (22)

90.91% of 22 reviewers that rated this feature as important or highly important

Process and analyze human language in text or audio form

Data Augmentation

4.3 (19)

100.00% of 19 reviewers that rated this feature as important or highly important

Generative models can help augment training datasets by generating additional synthetic data.

Transfer Learning and Fine-tuning

4.5 (18)

88.89% of 18 reviewers that rated this feature as important or highly important

Where pre-trained models on large datasets can be used as a starting point for generating new content

Content Generation

4.4 (13)

84.62% of 13 reviewers that rated this feature as important or highly important

Generative AI can be employed to generate content in different forms, such as text, images, music, and videos

Interactive and Co-Creative Systems

4.7 (13)

100.00% of 13 reviewers that rated this feature as important or highly important

Generative AI can enable interactive and co-creative systems, where humans can collaborate with AI models to create new content.

GitHub Copilot 8 features

Application programming interface that allows for integration with other systems/databases

Generate new programming code by utilizing natural language prompts and provide suggestions to complete partially written code

Generative AI can be employed to generate content in different forms, such as text, images, music, and videos

Generative models can help augment training datasets by generating additional synthetic data.

Generative AI can enable interactive and co-creative systems, where humans can collaborate with AI models to create new content.

Process and analyze human language in text or audio form

Generative AI can generate synthetic data and simulate scenarios for training and testing purposes.

Where pre-trained models on large datasets can be used as a starting point for generating new content

Features

4.5 (44)

4.5

Based on 44 reviews

## Pricing

Value for money

4.3 (32)

Free Version

Basic

$0.00

Value for money

4.3 (32)

4.3

Based on 32 reviews

## Support, customer service and training options

Customer Service

3.9 (27)

Support

-   Email/Help Desk
-   FAQs/Forum
-   Knowledge Base
-   Phone Support
-   24/7 (Live rep)
-   Chat

Training

-   In Person
-   Live Online
-   Webinars
-   Documentation
-   Videos

Deployment

-   Web
-   Android
-   iPhone/iPad

Typical users

-   Freelancers
-   Small businesses
-   Mid size businesses
-   Enterprises

Customer Service

3.9 (27)

3.9

Based on 27 reviews

## User reviews

Overall rating

4.6

Based on 44 reviews

Filter by rating

5(29)

4(12)

3(2)

2(1)

1(0)

Mentioned topic

Sorted by most recent

AU

Anonymous User

Software Engineer

Information Technology and Services

### "A Powerful AI Assistant That Speeds Up Everyday Development"

4.0

Overall Rating

4.0

4.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

4.0

4.0

Likelihood to Recommend

10/10

April 21, 2026

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.

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.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

JC

Jerrid C.

CEO

Computer Software

### "From Idea to Prototype in Hours: A Solo Developer’s Secret Weapon"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

2.0

2.0

Likelihood to Recommend

10/10

April 13, 2026

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.

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.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AU

Anonymous User

Web developer

Program Development

### "Github copilot companion"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

8/10

March 31, 2026

Con Github Copilot riesce a darmi una direzione e mi fa risparmiare tantissimo tempo in fase di compilazione

Pros

Copilot lo sto usando come un dev junior, ossia mi da una mano alla compilazione e mi permette di utilizzare la sua versione pro

Cons

attualmente non sono ancora in grado di percepire i suoi punti di debolezza ma man mano che utilizzerò vari tool modificherò la recensione.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

Tom E.

Senior Frontend Developer

Information Technology and Services

### "Great product with integrations. Highly recommend"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

8/10

March 26, 2026

Overall, I think GitHub Copilot is a great addition not only to Github itself, but to the wider community with great IDE integration.

Pros

GitHub Copilot gives you the option to let it write code for you, or as I do more often than not, use it to Code Review my code. The interface is easy to use and their are a good number of tokens included at the free tier. There can choose from several models including Claude, ChatGPT, Grok, Gemini and more. It also embeds nicely with VSCode and PhpStorm. 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.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

PS

Peter S.

Backend Developer

Information Technology and Services

### "GitHub Review"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

4.0

4.0

Likelihood to Recommend

9/10

March 23, 2026

it’s an interesting idea that really helps me with my projects most of the time and 90% of the time, I will recommend it

Pros

With the implementation of copilot on GitHub it really help with productivity and fast generation of boilerplate codes with make the project faster. Very easy to use and it worth the money I paid for it

Cons

It’s very hard to navigate from the start because it took me like few weeks before I can get how it works and how productive I can be using it

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

Gunther C.

Software Engineer

Computer Software

### "Convenient Functionality"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

March 17, 2026

Overall my experience has been very positive. The ability to use GitHub Copilot with a range of AI models has been wonderful for experimenting and learning about the strengths and quirks that each one has

Pros

GitHub Copilot is currently my preferred method of agentic coding. It integrated seamlessly with VS Code, which is my preferred editor. The features it supports in GitHub also have been useful, for example I was able to use it to gain quick security-related insight into a codebase that had limited documentation.

Cons

I have few complaints about GitHub Copilot, I genuinely think it is a good product and that it is headed in the right direction.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

SM

Soren M.

Rutgers University Student

Computer Software

### "Great for Students!"

3.0

Overall Rating

3.0

3.0

Ease of Use

3.0

3.0

Features

3.0

3.0

Customer Service

3.0

3.0

Likelihood to Recommend

7/10

February 13, 2026

GitHub Copilot is great for any student in pursuit to learn and understand more about software, to seek comprehensive solutions.

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

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AU

Anonymous User

App Developer

Information Technology and Services

### "Fast, Helpful, but Not Always Right"

5.0

Overall Rating

5.0

5.0

Ease of Use

4.0

4.0

Features

5.0

5.0

Customer Service

4.0

4.0

Likelihood to Recommend

8/10

January 28, 2026

Helpful for speeding up coding and exploring ideas, but occasional wrong suggestions and reliance risks make it a powerful yet imperfect assistant.

Pros

GitHub Copilot accelerates coding with smart suggestions, reduces repetitive work, helps explore new APIs, and boosts productivity—especially for quick prototypes and routine tasks—while learning your style.

Cons

Sometimes it suggests incorrect or insecure code, can be repetitive, and may reduce learning by over-relying on autocomplete.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

Osama A.

FULL STACK DEVELOPER

Government Administration

### "Helpful Coding Assistant"

4.0

Overall Rating

4.0

4.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

4.0

4.0

Likelihood to Recommend

10/10

January 21, 2026

Overall experience is positive. It improves productivity and helps to speed up tasks. It is a useful assistant, especially for programmers.

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.

Alternatives considered

[Codium](https://www.capterra.com/p/10003923/Codium/)

Reasons for choosing GitHub Copilot

It gives more accurate code and works well with visual studio code

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

SP

Stuart P.

Product manager

Computer Software

### "Game changer"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

December 31, 2025

I used it when it first came out and had to describe context and the project as a whole but then they quickly gave it project awareness. I also use codex with it separately and probably just about prefer codex

Pros

The project level overview helps a lot with explaining context. In fact it cuts out the need altogether.

Cons

The fact I run out of credit and even on free tier cannot use it to generate commit messages. This would be a really cool free tier option.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

[View all Reviews](https://www.capterra.com/p/10011215/Copilot/reviews/)

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Popular comparisons

[Blaze vs GitHub Copilot](https://www.capterra.com/compare/10011215-10013921/Copilot-vs-Blaze) 

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[Learn more](https://www.capterra.com/resources/proprietary-data-research/)

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