I Tested Claude Code and Cursor on a 25-Module ERP Project — Here's What Actually Happened
Most comparisons between Claude Code and Cursor are based on simple projects, landing pages, or small applications.
But enterprise software is different.
Over the last few months, I worked on a large ERP system containing more than 25 interconnected modules, hundreds of API endpoints, complex business workflows, Redux state management, dynamic forms, and thousands of files.
Instead of relying on benchmarks or marketing claims, I wanted to see which AI coding assistant actually performs better in a real-world enterprise environment.
The Project Environment
The ERP system included:
- Inventory Management
- Procurement
- Sales
- Purchase Orders
- Bill of Materials (BOM)
- Production Planning
- Vendor Management
- Quality Control
- Finance Integrations
- User Permissions & Roles
- Reporting Dashboards
The stack consisted of:
- React
- TypeScript
- Redux Toolkit
- Node.js
- Express
- MongoDB
This wasn't a toy application. Every change had ripple effects across multiple modules.
Where Cursor Performed Well
Cursor felt extremely fast during everyday development.
It excelled at:
- Creating components
- Generating CRUD pages
- Writing API integration code
- Refactoring small modules
- Producing boilerplate quickly
For developers working on isolated features, Cursor significantly improved development speed.
However, as the project grew larger, context limitations became more noticeable.
Where Claude Code Stood Out
Claude Code performed surprisingly well when dealing with larger architectural problems.
Some examples:
Cross-Module Understanding
When debugging issues that involved:
- Frontend state
- Backend APIs
- Database models
- Business rules
Claude was often able to connect the dots across multiple files more effectively.
Refactoring Complex Logic
ERP systems frequently contain business rules accumulated over years.
Tasks such as:
- Reorganizing workflows
- Simplifying large components
- Understanding existing architecture
were often handled more accurately.
Root Cause Analysis
Instead of patching symptoms, Claude frequently identified the actual source of issues.
This became especially useful during production bug investigations.
The Biggest Difference
The biggest difference wasn't code generation.
It was context handling.
Small projects reward speed.
Large projects reward understanding.
In enterprise applications, understanding usually becomes more important than generating code quickly.
Which One Should Developers Choose?
Choose Cursor If:
- You build SaaS products
- You create dashboards regularly
- You need rapid feature development
- Most tasks involve local context
Choose Claude Code If:
- You work on large enterprise applications
- You manage legacy systems
- You frequently debug complex issues
- Architecture understanding matters
My Final Verdict
Neither tool completely replaces experienced engineers.
However, after testing both tools on a large ERP platform, I found that:
- Cursor helped me move faster.
- Claude Code helped me make fewer mistakes.
For enterprise development, that distinction matters more than many developers realize.
For anyone interested in the detailed breakdown, examples, and full comparison, I documented the complete analysis here:
Have you used Claude Code or Cursor on a large production project? I'd be interested to hear how your experience compares.
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