Is GitHub Copilot Free Now?

GitHub Copilot, unveiled with new advancements at GitHub Universe, has transformed from an autocomplete assistant into a powerful AI coding agent. It is reshaping how developers write, review, and manage code. Below is a detailed look at its features, pricing, and how it compares with tools like ChatGPT.

Is GitHub Copilot Free Now?

GitHub Copilot is available in different pricing tiers, including a Free Plan, a Pro Plan, and a Pro+ Plan.

1. The Free Plan includes limited requests in Agent Mode or chat, access to GPT-4.1, and Claude Sonnet 3.5. It is a good starting point for individual developers.

   
   

2. The Pro Plan costs $10/month (or $100/year) and provides unlimited completions, unlimited agent mode, GPT-5 mini, and additional features such as code review.

   
   

3. The Pro+ Plan costs $39/month (or $390/year) and offers full access to all models, including GPT-5, Claude Opus, and Google Gemini 2.5 Pro, along with significantly higher usage limits.

   
   

Students, teachers, and maintainers of popular open-source projects are eligible to use Copilot Pro at no cost.

What is GitHub Copilot Used For?

GitHub Copilot is an AI-powered development assistant integrated into popular IDEs such as Visual Studio Code, Visual Studio, JetBrains IDEs, Xcode, and others. Its key uses include:

1. Code Completion: Suggests context-aware lines of code and functions to speed up development.

   
   

2. Agent Mode: Allows developers to assign issues to Copilot, which can then plan, code, test, and create pull requests automatically.

   
   

3. Multi-Model Chat: Enables developers to choose between models such as GPT-5, Claude, and Gemini depending on whether speed or depth is needed.

   
   

4. Code Review: Detects bugs, suggests optimizations, and ensures clean code before human review.

   
   

5. Next Edit Suggestions: Helps maintain consistency across projects by analyzing ripple effects of code changes.

   
   

6. Copilot Spaces: Organizes project-specific resources like documentation, notes, and code for context-aware answers.

   
   

In short, GitHub Copilot is used to accelerate coding tasks, automate repetitive work, improve code quality, and support collaborative development.

How Good is Copilot Compared to ChatGPT?

GitHub Copilot and ChatGPT serve overlapping but distinct purposes. Both use advanced AI models, but they are optimized differently:

1. GitHub Copilot is designed specifically for software development workflows. It integrates directly with repositories, IDEs, and GitHub Actions. Copilot goes beyond text generation—it can plan, write, test, and validate code across projects. Its ability to work with repository context makes it function more like a coding teammate than a general chatbot.

   
   

2. ChatGPT, including advanced versions like GPT-5, is a general-purpose conversational AI. It can help with brainstorming, debugging, or explaining concepts, but it does not natively integrate with GitHub, IDEs, or project-specific workflows in the same way Copilot does.

   
   

In practical terms, GitHub Copilot is better suited for real-time coding assistance and automation, while ChatGPT excels at explanations, ideation, and broad technical discussions. Many developers use both tools together: Copilot for day-to-day coding tasks and ChatGPT for deeper understanding or exploring alternative approaches.

What is GitHub Copilot?

GitHub Copilot transforms the developer experience by providing contextualized assistance throughout the software development lifecycle. Backed by the leaders in AI, it supports developers with code completions, chat assistance within the IDE, explanations of code, and direct answers from documentation on GitHub. The aim is to help developers spend less time on repetitive coding and more time on solving problems and innovating.

Developers who use GitHub Copilot report up to 75% higher job satisfaction and are up to 55% more productive when writing code, without sacrificing quality. The tool integrates with widely used editors including Visual Studio Code, Visual Studio, JetBrains IDEs, and Neovim, and is natively built into GitHub. With millions of individual users and tens of thousands of businesses adopting it, GitHub Copilot is the world’s most widely used AI developer tool.

Who is Eligible to Access GitHub Copilot for Free?

GitHub Copilot Free is a new tier with limited functionality available to individual developers. However, users who already have access through Copilot Business or Copilot Enterprise are not eligible. Those with Copilot Pro via a paid subscription, trial, or through existing verified OSS, student, or faculty accounts may opt to use the Free plan if they prefer.

This ensures that anyone—from hobbyists to professionals—can get started with Copilot at no cost, while more advanced features are available in paid tiers.

What Languages, IDEs, and Platforms Does GitHub Copilot Support?

GitHub Copilot has been trained on source code from public repositories across many programming languages. The quality of suggestions depends on how well-represented a language is in training data. For example, JavaScript is among the best-supported languages due to its wide use in open-source projects, while languages with fewer examples may provide less robust suggestions.

Copilot is available as an extension in:

• Visual Studio Code

• Visual Studio

• JetBrains IDEs

• Vim and Neovim

• Azure Data Studio

• GitHub CLI

Chat functionality is supported in Visual Studio Code, JetBrains IDEs, and Visual Studio, as well as in GitHub Mobile. With the Enterprise plan, GitHub Copilot also integrates directly into GitHub.com.

Does GitHub Copilot Copy and Paste Code?

No. GitHub Copilot does not copy and paste code from repositories. Instead, it uses probabilistic models to generate context-aware suggestions based on the code you are writing. The AI does not contain or replicate specific codebases—it analyzes your editor context, such as nearby code, open files, and dependencies, to predict the most relevant next line or function.

When used in chat mode, Copilot combines your prompt with contextual information such as framework, language, and repository details to generate meaningful answers. Similarly, when used on GitHub.com, Copilot incorporates repository data and search information to respond.

GitHub Copilot Plans – Business, Enterprise, and Individual

GitHub Copilot offers different tiers depending on whether it is used by organizations or individual developers:

• Copilot Business: Provides code completion and chat in IDEs, CLI, and GitHub Mobile. Designed for organizations that require collaborative workflows.

• Copilot Enterprise: Includes everything in Business, with additional customization and integration into GitHub.com. It can index an organization’s codebase for deeper context and offers access to fine-tuned, private models.

• Copilot Individual: Created for solo developers, freelancers, students, and open-source maintainers. Includes most features of Business but without license or policy management.

  
  

Training Data

GitHub Copilot is powered by generative AI models developed in collaboration with GitHub, OpenAI, and Microsoft. It has been trained on public code repositories and natural language text. Importantly, while trained on this data, it does not store or reproduce code directly.

GitHub Copilot Autofix

GitHub Copilot Autofix is a feature included with GitHub Advanced Security. It provides contextual explanations of vulnerabilities and generates suggested code fixes, making security remediation faster and more efficient.

Opting In or Out of Copilot

GitHub Copilot is optional and requires user consent before activation. Developers can enable or disable it at any time within their editor and can control which file types it is active for. This flexibility ensures teams and individuals maintain full control over its usage.

Managing Copilot in Organizations

For companies, access to GitHub Copilot Business or Enterprise is controlled by GitHub Administrators. They can manage policies, control feature availability, and set organizational preferences. Network firewalls can also be used to allow or block specific tiers of Copilot, ensuring compliance with company requirements.

How Good is Copilot Compared to ChatGPT?

While GitHub Copilot and ChatGPT share advanced AI capabilities, they serve different purposes:

• GitHub Copilot is built for coding workflows. It integrates into IDEs, GitHub.com, and organizational repositories, making it highly effective for real-time development and project-wide code automation.

• ChatGPT is a general-purpose conversational AI. It is excellent for explanations, ideation, and technical discussions, but it does not integrate natively with GitHub or automate repository tasks.

In practice, Copilot is the superior choice for day-to-day coding and software development, while ChatGPT is better suited for conceptual guidance and brainstorming.

Quickstart Guide to GitHub Copilot

GitHub Copilot is an AI-powered coding assistant designed to help developers write code faster, debug more efficiently, and understand existing code with ease. Whether you want quick code suggestions, bug fixes, or explanations of complex logic, Copilot integrates seamlessly into your development workflow.

This quickstart guide will walk you through the steps of getting started with GitHub Copilot and making the most of its features.

Step 1: Sign Up for GitHub Copilot

To use Copilot, you’ll need a personal GitHub account. Depending on your needs, you can:

• Start with Copilot Free – Explore limited features without subscribing.

• Upgrade to Copilot Pro or Pro+ – Unlock advanced models, higher request limits, and additional capabilities.

Learn more about plan options: Plans for GitHub Copilot.

Step 2: Accessing GitHub Copilot

Copilot works across multiple environments. You can use it in:

• JetBrains IDEs

• Visual Studio

• Visual Studio Code

• Web browser (GitHub.com)

• Windows Terminal

This guide focuses on using Copilot directly in GitHub.com.

Step 3: Ask Your First Question in GitHub

1. Open a repository on GitHub and navigate to a file.

2. Click the Copilot icon in the top-right corner of the file view.

3. Type a question in the “Ask Copilot” box at the bottom of the chat panel and press Enter.

Examples of questions you can try:

1. Explain this file.

2. How could I improve this code?

3. How can I test this code?

Copilot will respond directly in the panel.

Step 4: Continue the Conversation

You can ask follow-up questions to refine Copilot’s responses.Example: after receiving an explanation, type “Tell me more” to get a deeper breakdown.

Step 5: Explore Other Use Cases

GitHub Copilot Chat is versatile. You can also:

1. Ask general software development questions.

2. Get insights into a repository or knowledge base.

3. Understand pull request changes, issues, or specific commits.

   
   

Step 6: Next Steps with Copilot

1. Use Copilot in your IDE → Code completions and inline suggestions.

2. Learn prompt engineering → Craft better questions for improved results.

3. Try GitHub Mobile → Access Copilot Chat on the go.

4. Use on the Command Line → Interact with Copilot directly via GitHub CLI.

Conclusion

GitHub Copilot in 2025 is no longer just an autocomplete tool; it is evolving into a full AI-powered coding agent. With its ability to handle project-wide changes, review code, and integrate seamlessly into developer environments, it has become an essential productivity tool for modern software teams. While ChatGPT remains valuable for general-purpose reasoning and explanations, Copilot distinguishes itself by being purpose-built for coding.

For developers considering whether GitHub Copilot is worth it, the Free Plan provides a strong introduction, while the Pro and Pro+ tiers unlock its full potential. Whether you are working on solo projects or collaborating in large teams, GitHub Copilot offers a significant advantage in software development.

GitHub Copilot vs Blackbox AI A Comprehensive Feature Comparison for Developers in 2025

In today's fast-paced software development world, AI-powered tools have become vital for developers. They not only improve productivity but also enhance code quality. In 2025, GitHub Copilot and Blackbox AI have emerged as two leading AI code assistants. This post provides an in-depth comparison of these platforms, focusing on their features, accuracy, pricing, and integration capabilities. The goal is to help developers choose the best tool for their needs.

Overview of GitHub Copilot and Blackbox AI

GitHub Copilot, developed by GitHub with OpenAI, uses machine learning to suggest code snippets and entire functions based on the coding context. Since its launch, it has become a popular tool among developers.

Conversely, Blackbox AI is a newer option designed to enhance code quality and precision. It aims to deliver a more tailored experience, particularly for complex coding tasks.

Feature Comparison: GitHub Copilot vs Blackbox AI

Code Suggestions and Autocompletion

Both tools excel in offering code suggestions and autocompletion features.

GitHub Copilot taps into a vast dataset of public repositories, generating suggestions that fit the coding context. It can propose entire functions, classes, and comments, making it useful for developers regardless of their experience. For example, a developer working on a JavaScript project might receive suggestions for a complete function within seconds, potentially saving hours of coding time.

Blackbox AI emphasizes precision in its suggestions. It analyzes a developer's coding style and project needs, providing adjustments tailored to specific coding contexts. A software engineer developing a large-scale Java application may find that Blackbox AI offers suggestions that remain consistent with the project’s existing code structure, enhancing overall coherence.

Language Support

GitHub Copilot supports a plethora of programming languages, including Python, JavaScript, TypeScript, Ruby, Go, and more. According to 2025 statistics, it covers over 80 programming languages, making it one of the most versatile tools available.

On the other hand, Blackbox AI focuses predominantly on enterprise languages like Java and C#. While it supports multiple languages, its deeper insights into specific languages make it a better choice for professionals in those industries. Reports indicate that 75% of enterprise developers prefer tools with targeted language support, and Blackbox AI fits this criterion well.

Learning Curve and User Experience

GitHub Copilot is user-friendly, boasting a straightforward interface that easily integrates into popular code editors like Visual Studio Code. Developers can start using it with minimal setup, which greatly appeals to beginners.

Blackbox AI, while user-friendly, may involve a slightly steeper learning curve due to its advanced features. However, users often find that once they become accustomed to it, the tool significantly boosts their coding efficiency. Training programs and resources have been shown to reduce the initial adjustment period by 40%, helping developers quickly maximize their use of the platform.

Accuracy and Code Quality Review

GitHub Copilot Accuracy

While GitHub Copilot has improved its accuracy, some suggestions can still be generic or contextually off-mark, especially in complex settings. Developers should review these suggestions carefully. A study from 2024 found that 30% of developers reported needing to modify Copilot-generated code to suit their specific needs.

Blackbox AI Accuracy

Blackbox AI makes accuracy a key selling point. By utilizing machine learning algorithms that adapt to individual coding styles, it provides highly relevant and precise suggestions. Many users claim that Blackbox AI suggestions align closely with their style, leading to a 25% reduction in errors and bugs compared to other tools.

Pricing and Subscription Plans

GitHub Copilot Pricing

As of 2025, GitHub Copilot operates on a competitive subscription model. Users pay a monthly fee for complete access to features. Additionally, GitHub provides discounts to students and contributors to open-source projects, making it accessible to a broader audience.

Blackbox AI Pricing

Blackbox AI similarly utilizes a subscription-based model but offers tiered plans based on required features and support. This flexibility appeals to different users, whether they are solo developers or part of larger teams needing varied functionalities.

Integration with Development Environments

GitHub Copilot Integration

GitHub Copilot integrates effortlessly with Visual Studio Code, JetBrains IDEs, and other popular development environments. This integration allows developers to adopt Copilot without disrupting their existing workflows. According to developer feedback, over 85% appreciate this seamless compatibility.

Blackbox AI Integration

Blackbox AI also supports integration with leading IDEs, including Visual Studio Code and JetBrains. Its integration capabilities enhance the development experience, providing context-aware suggestions that relate directly to the current tasks being executed.

Final Thoughts on Your Decision

Both GitHub Copilot and Blackbox AI offer unique advantages tailored to different developer needs. GitHub Copilot is an excellent choice for its extensive language support and straightforward user experience, making it suitable for developers seeking ease of use.

In comparison, Blackbox AI stands out with its emphasis on accuracy and personalized suggestions, particularly beneficial for complex projects or industries with specific requirements.

What is GitHub Copilot? A Complete Guide for 2025

In the fast-paced world of software development, productivity tools are becoming increasingly essential. GitHub Copilot stands out as one of the most powerful AI coding assistants available today. Designed to help developers write code faster and with less effort, GitHub Copilot allows you to focus more energy on problem solving, creativity, and collaboration.

In this article, we'll explore what GitHub Copilot is, its key features, where you can use it, and how to get access — whether you are an individual developer, student, or part of a large enterprise.

Why GitHub Copilot Matters

GitHub Copilot has been proven to increase developer productivity and accelerate the pace of software development. According to GitHub’s own research, developers using Copilot experience higher satisfaction and reduced cognitive load while coding. This makes it a game-changer for teams working on tight deadlines and complex projects.

Key GitHub Copilot Features

GitHub Copilot is more than just an autocomplete tool — it’s a full-fledged AI-powered coding partner. Here are some of its most important features:

• AI-Powered Code Suggestions – Get context-aware code suggestions directly in your IDE as you type.

• Copilot Chat – Ask Copilot questions about your code, request explanations, or get help with debugging right inside your editor.

• Command Line Assistance – Use Copilot to get help from the terminal for faster navigation and task automation.

• Copilot Spaces – Organize and share task-specific context to receive more relevant answers and suggestions.

• Pull Request Summaries – Automatically generate clear, concise descriptions of changes in your pull requests.

• Knowledge Bases (Enterprise) – Create and manage documentation collections that can be used as context when chatting with Copilot.

• Code Changes and PR Automation (Pro+/Business/Enterprise) – Copilot can even help you work on code changes and create pull requests for you to review.

Where You Can Use GitHub Copilot

GitHub Copilot is designed to fit seamlessly into your workflow. You can use it across multiple platforms:

• In Your IDE – Works with VS Code, Visual Studio, JetBrains IDEs, and more.

• On GitHub Mobile – Chat with Copilot even while away from your development machine.

• In Windows Terminal Canary – Use the Terminal Chat interface for quick help.

• Command Line (GitHub CLI) – Get assistance directly from the command line.

• On the GitHub Website – Access Copilot tools and chat without leaving your browser.

Getting Access to GitHub Copilot

Whether you're an individual developer, student, teacher, or an enterprise, there are multiple ways to get started with Copilot.

For Individuals

• Try Copilot for Free – Explore core features with no paid plan required.

• Subscribe to a Paid Plan – Upgrade to Copilot Pro or Copilot Pro+ for full access to premium features and generous usage limits. A 30-day free trial is available.

• Free Access for Students and Teachers – Verified students, teachers, and open-source maintainers may qualify for free access to Copilot Pro.

• Join Through Your Organization – If your organization already has a GitHub Copilot subscription, request access through your account settings at github.com/settings/copilot.

For Organizations and Enterprises

• Copilot Business – Purchase seats for your entire team to boost collaboration and productivity.

• Copilot Enterprise – Get enterprise-grade features like knowledge bases and centralized management.

• Dedicated Enterprise Accounts – If you don’t need other GitHub features, you can request a lightweight enterprise account for managing Copilot licenses only.

Final Thoughts

GitHub Copilot is not just a coding assistant — it’s an accelerator for software development. Whether you’re working solo on a personal project, collaborating with a small team, or managing enterprise-level development workflows, Copilot can help you save time, improve code quality, and focus on what really matters: solving problems.

If you haven’t tried it yet, explore Copilot Free today and experience how AI can transform your development process.

A developer's workspace showcasing coding in action

A laptop displaying a code editor with AI suggestions

A coding session with multiple screens displaying code and AI tools

If AI wore your sari, it can also remove it -Your data, your privacy, and your control.

In 2025, the red sari trend exploded across India’s digital landscape, fueled by AI-powered photo apps like Google Gemini and Banana Nano. Social media timelines are flooded with vintage Bollywood-style red sari portraits, each created in seconds—turning countless selfies into retro masterpieces. But this enchanting blend of tradition and technology hides a disturbing side: risky data sharing and privacy threats that every Indian netizen must understand.

Red Sari AI Selfie Craze

Main Harms of Sharing Data with AI Photo Apps

1. Permanent Image Storage & Data ReuseWhen a selfie is uploaded for the AI red sari makeover, the app often retains the image for its own AI training or future commercial use. Despite promises of deletion in the fine print, there is no guarantee your photo won’t be stored indefinitely or repurposed without proper consent—especially with overseas servers or third-party data sharing.

2. Cyber Fraud & Identity TheftPersonal facial data is extremely valuable. Once shared, it becomes vulnerable to cyber criminals who can use it for identity theft, fraudulent activities, or creating convincing deepfakes. Misdirected digital copies can be used for scam impersonations, phishing attempts, or extortion, making users regret going viral for the wrong reasons.

3. Loss of Control Over Your Digital ImagesThird-party access and unlimited storage means users lose control over how their images are used, edited, and distributed in the future. Even if a person deletes their account, the data may survive—haunting them in unexpected places online.

4. Data Breaches: When Privacy Turns PublicAI companies, especially those hosting millions of selfies, are attractive targets for hackers. Data breaches can leak not just images but sensitive private details, leading to blackmail or public humiliation on social media.

5. Metadata Risks: Revealing More Than LooksPhotos contain hidden metadata like geolocation, time stamps, and device info. If accessed illegally, these details can be used for stalking, targeted attacks, or surveillance—posing direct risks to user safety in India’s vast online community.

Why India Is the Epicenter of the Red Sari AI Trend

• Cultural Significance: The red sari is deeply rooted in Indian celebrations—weddings, festivals, and films—making every AI-generated portrait an instant sensation.

• Social Media Obsession: With millions of active Instagram and WhatsApp users, viral trends spread rapidly, pushing people to participate for likes and digital recognition.

• Low Awareness of Digital Privacy: Many Indians overlook app permissions and privacy settings while chasing trends, unaware of the legal and ethical risks involved.

• Influencer Marketing & Peer Pressure: Influencers and celebrities often endorse AI-powered retro look apps, amplifying their popularity and increasing the risk for everyday users who imitate them.

  
  

The Need for Privacy Vigilance

As the red sari AI photo trend continues to dominate feeds in India, a growing chorus of experts—police, cybersecurity agencies, and privacy advocates—warns users to pause and rethink. The risks of viral fame must be weighed against lasting harm. Protect privacy by scrutinizing app terms, refusing unnecessary permissions, avoiding sharing sensitive or real-life images, and using anonymized alternatives whenever possible.

Key Lesson:Going viral with a red sari AI selfie may bring momentary fame, but sharing personal data with photo apps puts users at risk of fraud, privacy violation, and data misuse. In India, where cultural pride and tech adoption intersect, digital caution and privacy-conscious use of such apps is now