Next Gen-AI Code Debugger and Explainer for Multi-programming Language

A Next Gen-AI Code Debugger & Explainer designed for multi-programming languages, addressing the limitations of traditional debugging tools and the privacy concerns associated with cloud-based AI assistants. The system implements a hybrid architecture that utilizes a dual-processing framework: Google Gemini for high-parameter cloud reasoning and Code LLaMA/Gemma via Ollama for localized, privacy-preserving execution. The engine provides automated multi-layer diagnostics, moving beyond basic syntax checks to perform deep-level remediation of runtime anomalies and logical inconsistencies. To bridge the “conceptual gap” for novice developers, the tool features human-centric pedagogical translation, converting cryptic technical metadata into clear, natural language explanations. By prioritizing an offline capability, the architecture ensures data residency and security, preventing proprietary data leaks while maintaining low-latency performance in zero-connectivity environments. The proposed system, developed using the StreamLit framework, consolidates code generation, debugging, and explanation into a unified, interactive dashboard, offering a scalable and future-proof solution for modern software development.