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Programming Freemium

GitHub Copilot

GitHub Copilot 2026: the AI coding assistant by GitHub and OpenAI. Real-time completions, chat, agents and CLI commands.

8.9
Editorial score
Updated: 6 Jun 2026
8.9 / 10

Veredicto editorial

Herramienta de alta calidad con propuesta de valor clara. Excelente elección para la mayoría de casos de uso.

Freemium Programming

What is GitHub Copilot?

GitHub Copilot is the AI coding assistant developed by GitHub (Microsoft) and OpenAI. Integrated directly in your editor, it suggests lines, functions, and complete blocks as you type, as if you had a senior dev watching your screen and anticipating what you need.

Launched in 2022 and trained on hundreds of millions of public GitHub repos, Copilot understands your project’s context: language, libraries, code style, and what you’re trying to build. In 2024 it evolved into Copilot Workspace, capable of planning, coding, and testing full features autonomously.

Who is GitHub Copilot for?

  • Professional developers who want to multiply coding speed in any language.
  • Programming students who learn and need contextual suggestions while practicing.
  • Freelancers who work solo and want a “colleague” to review and suggest code.
  • Startup teams who need to move fast without sacrificing quality.
  • Non-specialist developers (designers, data scientists) writing in secondary languages.

Core features

1. Smart real-time autocomplete

The core function: as you type, suggestions appear in gray that you accept with Tab. Goes from completing a line to generating a 50-line function based on the function name and the comments you wrote. Notably accurate in Python, JavaScript, TypeScript, Java, C#, and Go.

2. Copilot Chat

An IDE-integrated chatbot that understands your whole codebase. Select a code block and ask: “What does this function do?”, “Refactor for efficiency”, “Write unit tests for this class”, “Why does this fail?” Copilot answers in your project’s exact context.

3. Copilot Chat /commands

Slash commands speed recurring tasks: /explain, /fix, /tests, /doc, /optimize.

4. Copilot CLI

In the terminal, Copilot suggests shell commands. Write naturally: “Find all .log files larger than 100MB modified in the last 7 days” and Copilot produces the correct find command.

5. Copilot Workspace (agent)

The most advanced feature: describe a feature or bug naturally and Workspace analyzes the repo, proposes an implementation plan, writes code in the right files, and suggests tests. Preview on Enterprise and Individual Plus.

Real-world use cases

Write unit tests in seconds

Select a function, type /tests in chat. Copilot generates a test file with happy paths, edges, and error cases. A 30-minute job becomes 2. You only review that cases cover your specific business logic.

Debug complex errors

Paste a stack trace with /fix or just explain: “This function returns undefined when the array is empty but should return []”. Copilot analyzes the code, identifies the cause, and suggests the fix with explanation.

Migrate from one library to another

You’re migrating from axios to native fetch, or from Moment.js to date-fns. Select the code and ask: “Rewrite this using native fetch without axios”. Copilot translates while keeping the logic.

Document legacy code

Got a legacy repo without comments? Select function by function and use /doc: Copilot generates full docstrings with params, return types, and behavior description. In an afternoon you can document a project that hadn’t been touched for years.

Pricing and plans

Plan Price/month Key features
Free (Individual) $0 Limited completions · IDE chat · basic access for individuals
Copilot Pro ~$10/month Unlimited completions · IDE and GitHub.com chat · basic agents
Copilot Pro+ ~$40/month Pro + premium models (GPT-4.5, Claude Sonnet) · advanced agentic features
Business ~$19/user/month For teams · policies · no training on your code
Enterprise ~$39/user/month Everything in Business + Workspace · custom models · auditing

Pros and cons

✓ Strengths

  • Native integration in VS Code, JetBrains, Neovim
  • Massive install base and community
  • Excellent at autocomplete in major languages
  • Affordable for individual developers
  • Workspace agent gaining ground
  • Trusted by enterprises on data policy

✗ Weaknesses

  • Less codebase-wide context than Cursor
  • Agentic features behind paid plans
  • Lower preference among senior developers vs Claude Code
  • Quality varies by language (best on JS/TS, Python)
  • Less flexible than Cursor for model choice

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