Debugger-AI is an AI-powered developer assistant designed to help developers diagnose and resolve software errors faster. The system uses a Retrieval-Augmented Generation (RAG) pipeline to retrieve relevant solutions from developer communities such as Stack Overflow and Reddit, allowing it to provide contextual answers based on real-world solutions rather than relying only on the model’s existing knowledge. I implemented integrations with the Stack Overflow and Reddit APIs to collect relevant technical discussions and used Pinecone as a vector database for similarity search and efficient retrieval of related solutions. When a developer submits an error or technical issue, the system identifies relevant context, retrieves similar problems and community solutions, and generates a focused response to help resolve the issue. The project combines AI, NLP, API integration, vector search, and intelligent retrieval into a practical debugging assistant aimed at reducing the time developers spend searching through forums and documentation