Your AI pair programmer and autonomous coding agent
Based on user reviews
Rating Distribution
Carlos Mendez
2 months ago
I've been using GitHub Copilot for about three months now, mainly in VS Code for web projects and some Python scripting. The autocomplete is solid, and I love how it suggests whole blocks of code that actually fit the context. The new agent mode is a game changer for routine refactors and issue fixes, especially when I'm juggling multiple pull requests. I've noticed my workflow is faster, but I still catch the occasional off-target suggestion, especially with complex logic or niche libraries. Compared to ChatGPT for coding, Copilot feels more integrated and context-aware, but it's not flawless. I also appreciate the customizable instructions and multi-file editing, which help keep my team's standards consistent. The free tier is decent for learning, but I upgraded to Pro for the extra requests and smoother experience. Honestly, it's a huge time-saver, but I wouldn't trust it blindly-always review its output. If you want a smart assistant that speeds up coding without replacing your judgment, Copilot is a strong choice.
Evan Delaney
3 months ago
Swapped from Codeium and tried Copilot Pro for about 6 weeks. The agent mode actually lets me hand off issues and it drafts pull requests for me-pretty wild. Occasionally suggestions need a second look, though.
Marcus Chen
3 months ago
Been using Pro for three months across our team's React projects. Saves maybe 30-40 minutes daily on boilerplate and refactoring. The code review agent is genuinely useful - catches stuff we'd miss. Main gripe: occasionally hallucinates on unfamiliar libraries, so you can't just trust everything blindly.
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Getting started with GitHub Copilot | Tutorial
Dr. William Bobos
Based on 3 user reviews showing a 4.0/5 rating, Dr. William Bobos endorses GitHub Copilot for Code Assistance applications. Dr. William Bobos's knowledge of AI tools makes this assessment particularly valuable for software developers seeking Code Assistance solutions.
Pricing: $0 – $39 / month(Updated December 2025)
Free tier ($0, 50 premium requests/month, 2000 completions/month); Pro $10/month (300 premium requests); Pro+ $39/month (1500 premium requests); Business $19/user/month (300 premium requests); Enterprise $39/user/month (1000 premium requests); additional premium requests $0.04 each
Usage Model: API Calls, Pay-as-You-Go — ensuring you only pay for what you actually use.
GitHub Copilot's free tier removes financial barriers for software developers exploring code assistance solutions. The free plan delivers core functionality that's perfect for learning and initial testing. When you're ready to scale, paid subscriptions unlock enterprise features, higher capacity, and professional support tailored to software developers with growing code assistance needs.
GitHub Copilot is an AI-powered coding assistant and autonomous agent that integrates directly in IDEs (VS Code, Visual Studio, JetBrains, Xcode, Eclipse, Vim/Neovim) and the cloud. It provides code completions, next edit predictions, inline chat, multi-file editing, intelligent actions for tests/docs/fixes, and agent mode for handling issues, pull requests, refactoring, app modernization (.NET/Java), error fixing, test coverage, and multi-step workflows. New 2025 features include Copilot Free tier, enhanced agent with MCP integration, custom agents for workflows (CI/CD, security), open-sourced chat extension, and support for 15M+ developers.[1][2][3][4][5][6]
Understanding the core functionality and approach of GitHub Copilot.
GitHub Copilot understands your codebase context and provides intelligent assistance. Pair programming, code reviews, and documentation generation become faster. Integrations with GitHub keep work connected.
Explore the powerful features that make GitHub Copilot stand out.
GitHub Copilot understands context across files, making suggestions that fit your codebase. Python, JavaScript/TypeScript, and JVM (Java/Kotlin/Scala)
Access GitHub Copilot wherever your team works—no switching tools or devices required. Available across Web App, Desktop App, and Mobile App for consistent adoption.
Official API docs and clear auth flows—ideal for custom automations. Automation handles the repetitive work so teams can focus on strategy.
Type-safe SDKs provide autocomplete and compile-time checks for faster development.
Automation frees time for strategic initiatives while maintaining consistency. Automation handles the repetitive work so teams can focus on strategy.
Discover how different audiences leverage GitHub Copilot for their specific needs.
Developers use GitHub Copilot to write code faster, catch bugs early, and refactor legacy systems. Automation handles the repetitive work so teams can focus on strategy.
Developer teams use the API to automate processes and extend internal apps within GitHub Copilot. Automation handles the repetitive work so teams can focus on strategy.
Product teams lean on GitHub Copilot to test features, gather feedback, and prioritize roadmaps using real data.
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Learn to craft effective prompts to command AI models.
Integrate AI into your daily workflows ethically and effectively.
See how GitHub Copilot stacks up against similar alternatives in the market.
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Use this page as a starting point to evaluate GitHub Copilot alongside similar options. Our directory focuses on practical details that matter for adoption—capabilities, pricing signals, integrations, and real audiences—so you can shortlist with confidence and move from exploration to evaluation faster.
For a structured head‑to‑head, try the comparison view: Compare AI tools. To stay current with launches, model updates, and research breakthroughs, visit AI News. New to the space? Sharpen your understanding with AI Fundamentals.
Before adopting any tool, model your total cost at expected usage, verify integration coverage and API quality, and review privacy, security, and compliance. A short pilot on a real workflow will reveal reliability and fit quickly. Bookmark this site to track updates to GitHub Copilot and the broader ecosystem over time.
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