Cursor vs Sourcegraph Cody

Both are built for Code — here's how Cursor and Sourcegraph Cody actually differ on pricing, platform reach and where each one is strongest.

At a glance

AttributeCursorSourcegraph Cody
PricingFrom $20/moContact for pricing
PlatformsWeb, macOS, WindowsWeb, Self-hosted, macOS, Windows
CategoriesCodeCode
IntegrationsNot listedNot listed

Where each stands

Cursor

Pros

  • Feels like a natural evolution of VS Code rather than a bolted-on plugin
  • Agent mode handles genuinely multi-file changes, not just single-function edits
  • Fast tab completions that anticipate the next edit, not just the current line

Cons

  • Credit-based billing means heavy users on Pro regularly spend well past the base $20
  • Pricing and plan structure have changed more than once since mid-2025, which makes budgeting harder
  • Large or unusual codebases can strain context and produce less reliable agent output

Sourcegraph Cody

Pros

  • Context quality benefits directly from Sourcegraph's mature code search and indexing
  • Strong option for very large, sprawling codebases where single-file context tools struggle
  • Robust self-hosted and air-gapped deployment for regulated industries

Cons

  • No longer available to individuals or small teams — free and Pro plans were discontinued in mid-2025
  • Enterprise contracts start high, putting it out of reach for most teams under a few hundred seats
  • Agentic, multi-file editing capability trails newer agent-first tools like Cursor or Copilot's agent mode

Which should you choose?

Cursor is the better fit for:

  • Refactoring or extending an existing codebase with agent-driven multi-file edits
  • Fast prototyping where most of the boilerplate is AI-written
  • Reviewing and explaining unfamiliar code before making a change
  • Writing a repo's conventions into rules so every suggestion already follows them
  • Asking questions about a codebase you did not write
  • Getting a failing test to pass without hunting the cause by hand first

Sourcegraph Cody is the better fit for:

  • Large organizations with monorepos where context across the whole codebase matters
  • Regulated enterprises that need self-hosted or air-gapped AI coding tools
  • Teams already using Sourcegraph code search who want AI chat layered on top
  • Answering where is this used across hundreds of repositories
  • Standardising common AI prompts across an engineering organisation
  • Assessing the blast radius of a change before making it

Looking for more options? Browse every tool in the Code category.

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