AI Code Debug & Test Agent

Problem & Solution Statement: Developers often spend significant time manually reviewing source code, identifying bugs, creating test cases, finding possible fixes, and documenting results. These repetitive activities can increase development time and may lead to missed issues and additional rework. AI Code Debug & Test Agent addresses this problem by bringing these activities into one unified developer workflow. The user selects a programming language and enters source code through the web interface. The system then performs multiple analysis stages: Bug Detection identifies potential coding issues, Test Generation creates normal, boundary, and invalid-input test scenarios, Fix Suggestion provides recommended corrections, and Analysis Reporting summarizes the results with an issue count, generated tests, and code score. The prototype supports JavaScript, Python, Java, C, and C++. Users can review detected issues, view suggested changes, and apply supported fixes directly to the source code through the interface. The target users are students, beginner developers, and developers who want a structured workflow for code review and testing. The creative aspect of the project is its agent-style workflow, which combines debugging, test generation, fix suggestions, and reporting in a single interface instead of requiring separate tools for each task. The solution helps reduce repetitive manual effort and provides structured feedback from one dashboard. The prototype was developed using IBM Bob 2.0 and demonstrates a practical developer-focused workflow.