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Cursor vs Sourcegraph Cody
A plain-English comparison to help you choose between them.
Cursor is an AI-native IDE while Sourcegraph Cody adds enterprise codebase context to the editors you already run, and estate scale separates their buyers. Pick Cursor when the editor experience is the purchase: deep indexed context on the repo you work in, agentic multi-file edits, parallel and cloud agents, adoptable by a single developer this afternoon on a familiar VS Code base. Pick Sourcegraph Cody when the organisation's estate is the problem: answers, completions and edits grounded in how code connects across many repositories, with cross-repo impact analysis before changes land.
Side by side
- Summary
Cursor is the AI-native IDE: a VS Code-shaped editor rebuilt around models, where agentic editing makes coherent multi-file changes, the indexed codebase grounds every answer, and you slide between manual coding, assisted edits and delegated tasks without changing tools.
- Best for
- Agentic multi-file edits that hold together
- Codebase-grounded answers from an indexed repo
- Sliding between manual, assisted and delegated work
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Hosted service
- Data
- Check data/privacy settings and enable team privacy mode for proprietary code; the main practical risk is unpredictable credit spend, so watch the usage dashboard. Review all agent-generated changes.
- Summary
Cody is Sourcegraph's enterprise coding AI, built on the code-intelligence platform that indexes very large, multi-repository codebases.
- Best for
- Multi-repo and monorepo context at enterprise scale
- Cross-repo impact analysis before changes land
- Answers grounded in how the whole estate connects
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Hosted service
- Data
- Enterprise deployments keep code context inside your environment with admin controls fit for security review.
Common questions
Both index code, so what is the context difference?
Scope. Cursor indexes the codebase you open, deeply enough that suggestions land in your patterns rather than generic ones, which covers most daily work. Cody stands on Sourcegraph's code-intelligence platform, indexing very large multi-repository estates, so it answers questions no single checkout can: where a change ripples, how systems connect, what else depends on this. Single-repo work rarely needs the second; sprawling estates do.
How do you actually get each?
Differently enough to decide some evaluations. Cursor is a download with a free tier and Pro above it: one developer can adopt it today and a team can standardise later. Cody is enterprise-only by deliberate strategy, its free and individual tiers retired, bought through procurement at a per-seat price that assumes organisational value. If your buying motion is a card, Cursor; if it is a contract, Cody qualifies.
Where should a large organisation start if both look plausible?
Which bottleneck costs more. If engineers understand the estate but ship too slowly, an AI-native editor rollout multiplies throughput and developer-led demand makes adoption easy. If engineers hesitate because nobody fully knows how the estate connects, Cody addresses the constraint the editors cannot. Organisations at real scale sometimes justify both; below that scale, Cursor plus the mainstream assistants usually wins on cost.
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Tool facts last checked July 2026