Cursor vs Cody
Two Coding AI tools, side by side. Both are verified against their own live sites. Here is what each does well and who it is for, so you can choose what fits.
AI code editor with agentic development and codebase context
Best forProfessional developers and teams who want an agentic editor with deep codebase understanding.
What it doesCursor is an AI-powered code editor and agent that can build, test, and demo features end to end. It offers accurate tab autocomplete, full codebase understanding through semantic search and indexing, and integrations with the terminal, Slack, and GitHub pull requests, with a choice of leading models.
Capabilities- Agentic development that builds, tests, and demos features
- Accurate tab autocomplete
- Full codebase understanding via semantic search
- Works in the terminal, Slack, and GitHub PRs
Visit Cursor →AI coding assistant that uses development context to write and fix code
Best forDevelopers and teams who want code assistance grounded in their full codebase context.
What it doesCody is an AI coding assistant from Sourcegraph that uses current models together with codebase context to help developers understand, write, and fix code. It pulls context through Sourcegraph's search to surface APIs, symbols, and usage patterns across a codebase. It works in VS Code, JetBrains, Visual Studio, and a web app.
Capabilities- Chat with repository context
- Auto-edit contextual code changes
- Customizable and premade prompts
- Context filters for repositories
Visit Cody →How to choose
Choose Cursor if you are professional developers and teams who want an agentic editor with deep codebase understanding. Choose Cody if you are developers and teams who want code assistance grounded in their full codebase context. Both sit in Coding; the right pick depends on your exact workflow and budget.
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