Overview
GitHub Copilot is the most widely adopted AI pair programmer, offering inline code completion, chat and agentic edits across major editors. Backed by frontier models and deeply integrated with the GitHub ecosystem, it supports pull-request summaries, code review and a CLI. For most professional developers it is the default AI coding assistant.
Key features
- ✓Inline multi-line completions
- ✓Copilot Chat in the editor
- ✓Agentic edits across files
- ✓Pull-request and review assistance
- ✓Choice of underlying models
- ✓Wide IDE support
Pricing
Pros
- +Deep GitHub and IDE integration
- +Reliable everyday completions
- +Large enterprise adoption
Cons
- −Less autonomous than newer agents
- −Best features require paid tiers
Best for
GitHub Copilot alternatives
See all alternatives →Cursor
Anysphere
Cursor is an AI-first code editor, a fork of VS Code rebuilt around deep model integration. Its agent mode can plan and execute multi-file changes, while features like Tab completion, codebase-wide context and inline edits make it feel like the editor and AI are one. Cursor has become a favourite among developers building with AI at the centre of their workflow.
Windsurf
Windsurf
Windsurf is an agentic AI IDE built around 'flows', where the assistant maintains awareness of your actions and the codebase to make coordinated multi-step edits. Its Cascade agent can reason across files, run commands and keep changes coherent. Windsurf is a leading alternative to Cursor for developers who want a deeply agentic editor.
Cody
Sourcegraph
Cody is Sourcegraph's AI coding assistant, distinguished by deep codebase context powered by Sourcegraph's code-search and graph technology. It answers questions, writes code and explains large repositories with awareness of your whole codebase. Cody is especially strong for enterprises with large, complex codebases.
Tabnine
Tabnine
Tabnine is a privacy-first AI coding assistant aimed at enterprises with strict security requirements. It can run fully air-gapped, train on your private code, and guarantees that your code is never used to train shared models. Tabnine trades a little raw capability for control, compliance and data isolation.
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