AI Big O Complexity Calculator

Our AI analyzes your code using advanced language models trained on vast amounts of algorithmic knowledge. It examines code patterns, loop structures, recursion, and algorithmic implementations to determine accurate time and space complexity with detailed reasoning and confidence levels.

The AI provides highly accurate complexity analysis, often matching expert-level manual analysis. It considers multiple factors including loop nesting, recursion depth, data structure operations, and algorithmic patterns. The tool also provides confidence ratings to indicate analysis reliability.

The AI can analyze code snippets in any programming language, pseudocode, or even natural language algorithm descriptions. It understands common programming constructs, syntax patterns, and algorithmic concepts across different languages and coding styles.

Unlike basic pattern matching, our AI understands context, semantics, and complex algorithmic relationships. It can analyze sophisticated algorithms, nested data structures, and optimization techniques that simple regex-based tools cannot handle accurately.

Yes! The AI not only determines complexity but also suggests specific optimizations when possible. It can recommend better algorithms, data structures, or implementation approaches to improve performance based on the analyzed code patterns.

The confidence rating (0-100%) indicates how certain the AI is about its analysis. Higher ratings suggest clear, unambiguous code patterns. Lower ratings may indicate complex or unusual code that requires human verification or additional context.

Absolutely! The AI can analyze partial code, pseudocode, algorithm descriptions, or even high-level explanations of your approach. This makes it perfect for early-stage algorithm design and interview preparation scenarios.

Yes! This tool is excellent for interview prep. It helps you practice complexity analysis, understand algorithmic trade-offs, and learn to identify optimization opportunities - all crucial skills for technical interviews at major tech companies.

The AI excels at analyzing recursive algorithms by understanding recursion trees, base cases, and recursive relationships. It can accurately determine both time complexity (considering recursive calls) and space complexity (including call stack overhead).

The tool can analyze any type of algorithm including sorting, searching, graph algorithms, dynamic programming, divide-and-conquer, greedy algorithms, and complex data structure operations. It handles everything from simple loops to sophisticated algorithmic paradigms.

Yes! The AI understands operations on complex data structures like nested arrays, trees, graphs, hash tables, and custom data structures. It considers the complexity of operations specific to each data structure type in its analysis.

Analysis typically completes within 2-5 seconds, depending on code complexity and current server load. The AI processes your code efficiently while maintaining high accuracy in its complexity determination and providing detailed explanations.