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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.
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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.
Its agent layer has deepened: parallel subagents split a task, plans can be reviewed before builds, and cloud agents take work away asynchronously and return with diffs. Frontier models from several labs sit behind one interface, drawing on the plan's included usage.
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It is the professional's default among AI editors; the trade is living in its fork of VS Code and watching included usage run down on the priciest models.
- Best for
- Agentic multi-file edits that hold together
- Codebase-grounded answers from an indexed repo
- Sliding between manual, assisted and delegated work
- Frontier-model choice behind one editor
- Parallel and cloud agents for asynchronous tasks
- 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 spend against the plan's included usage, 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. Its context is the differentiator: answers, completions and edits grounded in how code actually connects across an organisation's repos, with cross-repo impact analysis the marquee capability.
It is now enterprise-only by deliberate strategy: the free and individual tiers were retired, with individuals directed to a separate spun-off agent product. Cody's audience is the organisation whose codebase is the problem.
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For teams inside that shape, few tools see the whole estate the way it does.
- 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
- Code intelligence and AI in one platform
- Organisations whose codebase outgrew single-repo tools
- 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.
Pricing
- Cursor
Free·$20·$60·$200$40/user·Custom
Prices as of August 2026.
- Hobby
- Free
- Pro
- $20per monthusage billed in arrears
- Pro+
- $60per monthusage billed in arrears
- Ultra
- $200per monthusage billed in arrears
- Teams
- $40per user, per monthusage billed in arrears
- Enterprise
- Price on applicationno list price published
- Sourcegraph Cody
- Inside the Sourcegraph platform
By area
Where each one pulls ahead, area by area.
| Area | Cursor | Sourcegraph Cody |
|---|---|---|
| By job | ||
| Software development | Cursor splits tasks across parallel subagents, which divides the work rather than mapping the estate it happens in | Sourcegraph Cody is built on Sourcegraph's code intelligence, so its answers come from an index of the estate rather than from the editor's view of it |
| By task | ||
| Coding & software development | what is being adopted is an editor rather than a layer over the one already in use, which is frictionless for anybody on VS Code and a non-starter for JetBrains loyalists and terminal-first developers | the first useful thing it does is teach: a new engineer finds their way round a sprawling estate by asking it, rather than by reading services nobody on the team fully knows any more |
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.
Related comparisons
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Tool facts last checked August 2026