AI-Powered Development Tools for Large-Scale Codebases
Project Information
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AI Models Mentioned
Summary
A developer seeking recommendations for AI-powered development tools that can effectively handle large codebases exceeding 30,000 lines of code. The user reports performance issues with Cursor when working with their expanded codebase and is specifically looking for agentic tools designed for scale.
Prompt
What are the most effective AI-powered development tools specifically designed for analyzing and working with large codebases (>30,000 LOC)? Include considerations for: - Performance with large-scale code analysis - Memory usage and optimization - Integration with existing development workflows - Specific features for handling complex codebases - Real-world examples of successful implementations
Best Practices
Scale-Appropriate Tool Selection
Choose development tools that are specifically designed to handle the scale of your codebase
Performance Monitoring of Dev Tools
Regularly assess the performance of development tools as your codebase grows
Common Mistakes to Avoid
Ignore Tool Scalability Limits
Don't continue using tools that show clear performance issues with your codebase size
Delay Tool Evaluation
Don't wait until tools become completely unusable before evaluating alternatives
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