Intellicode analyst for test based code explainer with bug detection complexity insights and conceptual problem mapping

Understanding and optimizing source code remains a critical challenge for developers, especially when dealing with unfamiliar logic, hidden bugs, and performance limitations. This paper presents IntelliCode Analyst, a lightweight, text-based intelligent system designed to analyze user-submitted code via direct input or file upload. The tool performs multi-layered static analysis to generate human readable explanations, compute time and space complexity, and identify logical flaws beyond conventional runtime errors. Bugs are visually highlighted using severity-based color coding, enabling intuitive debugging directly within the code interface. The system also detects edge case vulnerabilities and suggests targeted test scenarios to improve robustness. Optimization recommendations are provided through algorithmic and structural refactoring, enhancing both efficiency and readability. Furthermore, the tool maps code segments to underlying computer science concepts and recommends related problems for continued learning.