--- description: Review of GitHub Copilot Software: system overview, features, price and cost information. Get free demos and compare to similar programs on Software Advice New Zealand. image: https://gdm-localsites-assets-gfprod.imgix.net/images/software_advice/og_logo-55146305bbe7b450bea05c18e9be9c9a.png title: GitHub Copilot | Reviews, Pricing & Demos - SoftwareAdvice NZ --- Breadcrumb: [Home](/) > [AI Coding Assistants](/directory/5339/ai-coding-assistants/software) > [GitHub Copilot](/software/450531/Copilot) # GitHub Copilot Canonical: https://www.softwareadvice.co.nz/software/450531/Copilot Page: 1 / 3\ Next: [Next page](https://www.softwareadvice.co.nz/software/450531/Copilot?page=2) > GitHub Copilot is an AI coding assistant that serves individual developers, students, educators, open source maintainers, and businesses of all sizes across software development industries. The software is deployed as a cloud-based tool that integrates directly into popular code editors such as Visual Studio Code, JetBrains IDEs, and Neovim. Core features include AI-powered code suggestions, multi-line code completions, natural language to code conversion, and support for dozens of programming languages. GitHub Copilot helps development teams write code faster by suggesting context-aware completions as developers type, reducing time spent on repetitive coding tasks. Business and enterprise plans include policy controls, audit logs, and organization-wide management features, making GitHub Copilot suitable for teams that need oversight and compliance tools. Support is available through a knowledge base, community forums, and email-based ticket submission for paid plan users. > > Verdict: Rated **4.5/5** by 50 users. Top-rated for **Likelihood to recommend**. ----- ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.5/5** | 50 Reviews | | Ease of Use | 4.7/5 | Based on overall reviews | | Customer Support | 3.9/5 | Based on overall reviews | | Value for Money | 4.2/5 | 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**: US$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, German, Japanese, Korean, Spanish - **Available Countries**: United States ## Features - API - Code Generation - Content Generation - Data Augmentation - Interactive and Co-Creative Systems - Natural Language Processing - Proactive Error Detection - Real-Time AI Coding Assistance - Simulation and Scenario Generation - Transfer Learning and Fine-tuning - Workflow Integration of AI ## Integrations (38 total) - AWS Auto Scaling - AWS CloudFormation - Amazon Simple Notification Service (SNS) - Amazon Simple Queue Service (SQS) - Android Studio - Azure DevOps Server - Azure Portal - Bitbucket - Chocolatey - Claude Code - Confluence - Cursor - Databricks - Eclipse - Elsevier Pure ... and 23 more integrations ## Support Options - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - 24/7 (Live rep) ## Category - [AI Coding Assistants](https://www.softwareadvice.co.nz/directory/5339/ai-coding-assistants/software) ## Related Categories - [AI Coding Assistants](https://www.softwareadvice.co.nz/directory/5339/ai-coding-assistants/software) - [Generative AI Tools](https://www.softwareadvice.co.nz/directory/4616/generative-ai/software) - [AI Code Generator Software](https://www.softwareadvice.co.nz/directory/4781/ai-code-generator-software/software) ## Reviews ### "GitHub Copilot Review" — 5.0/5 > **Leandro** | *2 December 2025* | Computer Software | Recommendation rating: 9.0/10 > > **Pros**: Amazing , improves the work flow dramatically .It makes you more productive , great addition to your set of tools > > **Cons**: It does what it's supposed to do and does it well.However I think that era better IAs out there .Especially Claude AI .I think Claude is slightly better for restructuring complex code bases > > It helps me a lot , I use it for creating the commit messages too , it's really reliable. I think claude it's a little better , but not for much ----- ### "Great Tool for Speeding Up Development" — 4.0/5 > **Rohan** | *12 November 2024* | Information Technology & Services | Recommendation rating: 8.0/10 > > **Pros**: I find Github Copilot incredibly useful for generating repetitive code and providing suggestions that match my coding style. It can provide suggestions for multiple languages and integrates seamlessly with VS Code and other IDEs. > > **Cons**: The auto-completion suggestion feels slow and the suggestions are only useful sometimes. > > Overall, Copilot saves me a lot of time and helps me complete my projects much faster. ----- ### "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. ----- ### "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. ----- ### "Best coding assistant out there" — 4.0/5 > **Mike** | *2 September 2025* | Computer Hardware | Recommendation rating: 10.0/10 > > **Pros**: Great value for money: GitHub copilot is by far the most affordable when you compare it with cursor, or paying credits directly to open router. Access to multiple models: Github Copilot allows you to access multiple LLMs. Customizable: you can easily customize Github Copilot to use different system prompt for different workspaces. By far the best tool for code generation. > > **Cons**: Github copilot has a feature where it allows you to block publicly accessible code to prevent IP infringement. It is unclear how github implemented this feature server side as it often blocks useful code that are clearly written in an idiomatic way. > > Overall I would 100% use Github copilot again in another organization if given the option to. I find Github copilot to be extremely convenient as it integrates very well with existing Github repositories. The only downside is sometimes the error message isn't very transparent when generated code are also found on internet. ----- Page: 1 / 3\ Next: [Next page](https://www.softwareadvice.co.nz/software/450531/Copilot?page=2) ## Links - [View on SoftwareAdvice](https://www.softwareadvice.co.nz/software/450531/Copilot) ## This page is available in the following languages | Locale | URL | | en | | | en-AU | | | en-GB | | | en-IE | | | en-NZ | | ----- ## Structured Data