Cursor vs Windsurf for Large Codebases: Which Handles Scale Better?

When your repo has hundreds of thousands of lines across dozens of modules, AI coding tools either help or get in the way. Cursor and Windsurf (now Devin Desktop) both claim to handle large codebases, but they approach the problem differently.

Cursor focuses on editor-level context: indexing, codebase search, and multi-file edits within the editor. Windsurf/Devin Desktop pairs local editing with cloud agent work, which means some tasks can offload to a remote environment that has more compute and context.

The choice matters because large codebases punish tools that lose context or make edits without understanding dependencies. I have seen both editors produce diffs that looked correct in isolation but broke something three files away. The difference is how often that happens and how quickly you can recover.

What makes large codebases hard for AI tools

Large repositories create three specific problems for AI assistants:

1. Context window limits. The tool cannot fit the entire repo in memory, so it must decide which files to read. Bad decisions lead to edits that conflict with existing patterns.
2. Dependency awareness. Changing a shared utility function affects every consumer. Tools that do not trace those dependencies create subtle regressions.
3. Performance. Indexing and searching a large repo takes time. If the tool is slow, developers stop using it for anything beyond autocomplete.

Both Cursor and Windsurf try to solve these problems, but they make different tradeoffs.

How Cursor handles large codebases

Cursor indexes your repository locally and provides several mechanisms for working with large projects:

• Codebase indexing. Cursor builds a searchable index of your repo. You can use @Codebase references to ask questions that span multiple files.
• File inclusion. You can manually include specific files in your context, which helps when you know exactly which modules matter.
• Multi-file edits. Cursor’s agent mode can propose changes across several files in one pass.
• Local execution. Everything runs on your machine, so there is no upload of proprietary code to a cloud service (unless you use cloud features).

The limitation is that Cursor still operates within your local editor. For very large changes, you are constrained by your machine’s resources and the context window of the underlying model.

How Windsurf/Devin Desktop handles large codebases

Windsurf/Devin Desktop takes a hybrid approach:

• Local editor. You write and review code locally, similar to Cursor.
• Devin cloud agents. For larger tasks, you can hand off work to a cloud agent that has its own compute environment. This means the agent can run tests, explore the codebase, and iterate without blocking your local session.
• Tab completions. The local editor provides inline completions for quick edits.
• Codebase chat. You can ask questions about your codebase and get answers that reference multiple files.

The advantage is that cloud agents have more resources. The disadvantage is that you are sending code to a remote service, which some teams cannot do.

Head-to-head: Large codebase features

Feature	Cursor	Windsurf / Devin Desktop
Codebase indexing	Local index with @Codebase	Local + cloud agent exploration
Multi-file edits	Agent mode in editor	Local agent + cloud agent handoff
Context management	File inclusion, @ references	Tab completions, chat, cloud context
Cloud offload	No (editor-focused)	Yes, through Devin agents
Local-first privacy	Yes	Partial (cloud features send code)
Speed on large repos	Good, limited by local resources	Good locally, faster for cloud agent tasks
Team collaboration	Teams plan with shared context	Devin Team with seat + usage model

Pricing for teams working with large codebases

Plan	Cursor	Windsurf / Devin
Free	$0/month (limited completions)	$0/month (Tab completions, limited Devin usage)
Individual	Cursor Pro: $20/month	Devin Pro: $20/month
Teams	$40/user/month	Devin Team: starts at $80/month + $40/seat
Enterprise	Custom	Custom

For teams, Cursor’s $40/user/month is simpler to budget. Devin Team’s pricing separates seats from usage, which can get expensive for large teams that use agent features heavily.

My experience with large repos

I tested both tools on a monorepo with approximately 300,000 lines of TypeScript, split across 12 packages. Here is what I found:

Cursor handled the repo well for targeted edits. When I asked it to update a shared type, it correctly identified the files that needed changes. The agent mode worked for medium-sized refactors, though it occasionally missed edge cases in less-used packages.

Windsurf/Devin Desktop performed similarly for local editing. The cloud agent was useful for a larger refactor that required running tests across multiple packages. The agent explored the codebase, made changes, ran the test suite, and reported results. This saved me from context-switching between the editor and terminal.

The tradeoff is real: Devin’s cloud agent is powerful but requires sending code off your machine. For open-source projects or teams with flexible security policies, this is fine. For regulated industries or companies with strict IP policies, Cursor’s local-only approach is safer.

Where Cursor wins for large codebases

• Privacy: all processing stays local
• Simpler team pricing at scale
• Better model flexibility with custom API keys
• Faster setup for teams already using VS Code

Where Windsurf/Devin Desktop wins for large codebases

• Cloud agent handoff for large, multi-step tasks
• Background work that does not block your editor
• Free Tab completions with unlimited usage
• Better for teams that want AI agents, not just AI editors

Recommendation

Pick Cursor if you want a reliable editor that handles large codebases without sending code anywhere. Pick Windsurf/Devin Desktop if you want cloud agent assistance for complex tasks and your security policy allows it.

For most teams, Cursor is the safer default. For teams already evaluating Devin as an engineering agent, Devin Desktop is worth testing alongside.

FAQ

Which tool indexes large repos better?

Cursor’s local indexing is fast and reliable. Windsurf/Devin Desktop’s cloud agent can explore more deeply but requires sending code to a remote service.

Can I use these tools on private monorepos?

Cursor keeps everything local. Windsurf/Devin Desktop’s cloud features send code to remote servers. Check your company’s security policy before using cloud agent features on proprietary code.

Is Devin Team worth the extra cost for large teams?

Only if your team uses Devin agents frequently. For teams that mainly need autocomplete and chat, Cursor Teams at $40/user/month is cheaper and simpler.

Do either tool handle microservices repos well?

Both handle multi-package repos. Cursor’s agent mode works within the editor. Devin Desktop’s cloud agent can work across services if you structure the task clearly.

Which is faster for large refactors?

Devin Desktop’s cloud agent can be faster for large, multi-file refactors because it has more compute resources. Cursor is faster for smaller, targeted edits because there is no network round-trip.

Sources

• Cursor pricing
• Cursor docs
• Devin pricing
• Devin Desktop docs

Bottom line

Cursor is the better choice for teams that prioritize privacy and predictable pricing. Windsurf/Devin Desktop is better for teams that want cloud agent power for complex tasks. Both handle large codebases, but they make different tradeoffs between local control and remote capability.