Best GitHub Copilot Alternatives 2026
Discover the best GitHub Copilot alternatives for 2026. Compare Cursor, Cody, Tabnine, Amazon CodeWhisperer and Continue on AI code completion, privacy and pricing.
At MG Software we recommend Cursor for developers wanting a full AI-native IDE, and Continue for teams that want complete control over models and providers. For enterprise environments with privacy requirements, Tabnine is a solid choice.
Why do people look for alternatives to GitHub Copilot is an AI code assistant by GitHub and OpenAI that provides inline code completion, chat features and code explanations. It integrates with VS Code, JetBrains and other editors, using OpenAI models for context-based suggestions.?
GitHub Copilot sends code to external servers for processing, raising privacy concerns. It offers limited codebase awareness, no agent mode for complex tasks, and pricing is high for individual developers. Some alternatives offer better privacy or more advanced features.
Best alternatives
Cursor
Cursor is a VS Code-based AI IDE with deep codebase awareness, agent mode for multi-file edits, and inline chat. It combines multiple AI models (Claude, GPT-5.4) for optimal code assistance.
Pros
- +Deep codebase indexing for context-aware suggestions
- +Agent mode that autonomously performs multi-file changes
- +Choice of multiple AI models including Claude and GPT-5.4
Cons
- -Requires switching from existing IDE to Cursor's VS Code fork
- -Higher price than Copilot for comparable base features
Cody (Sourcegraph)
Cody by Sourcegraph offers AI code completion and chat with unique codebase context powered by Sourcegraph's code intelligence. It understands your entire repository and can follow cross-repository references.
Pros
- +Deep codebase context via Sourcegraph's code graph technology
- +Cross-repository awareness for large monorepos and microservices
- +Works in VS Code and JetBrains without IDE switch
Cons
- -Requires Sourcegraph setup for maximum context awareness
- -Enterprise features are relatively expensive for small teams
Tabnine
Tabnine offers AI code completion with the option to run models on-premise or in a private cloud. It focuses on privacy, code security and personalization based on your own codebase.
Pros
- +On-premise and private cloud deployment for full data control
- +Trained on permissive-licensed code without IP risks
- +Personalization based on your own code style and patterns
Cons
- -Less powerful suggestions than models trained on more data
- -Limited chat features compared to Copilot or Cursor
Amazon CodeWhisperer
Amazon CodeWhisperer (now Amazon Q Developer) is AWS's AI code assistant with strong support for AWS services, built-in security scans and reference tracking for open-source licenses.
Pros
- +Excellent AWS integration with context-aware suggestions for cloud code
- +Built-in security scans that detect vulnerabilities in real time
- +Free individual plan with unlimited suggestions
Cons
- -Suggestions are heavily focused on AWS and less generically useful
- -Less advanced chat features than Copilot or Cursor
Continue
Continue is an open-source AI code assistant for VS Code and JetBrains that lets you connect any LLM, including local models. It provides full control over which models and providers you use.
Pros
- +Fully open-source and free with transparent codebase
- +Use any model: OpenAI, Anthropic, local models via Ollama
- +Customizable configuration for autocomplete, chat and embeddings separately
Cons
- -Requires self-configuration and setup of model providers
- -No built-in agent mode for complex multi-file tasks
What to consider when switching?
- Assess whether privacy and on-premise deployment are requirements for your organization
- Compare codebase awareness and context quality of suggestions
- Check whether your existing IDE (VS Code, JetBrains) is supported
- Evaluate whether agent capabilities for complex tasks are important for your workflow
Which alternative does MG Software recommend?
At MG Software we recommend Cursor for developers wanting a full AI-native IDE, and Continue for teams that want complete control over models and providers. For enterprise environments with privacy requirements, Tabnine is a solid choice.
Frequently asked questions
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