Ishan Manekar@Ish2311

Context Drop is an AI-powered repository intelligence and developer assistance platform designed to help teams understand, maintain, and collaborate on complex codebases faster. The platform combines large language models, repository analysis, and architecture mapping to transform raw source code into actionable engineering insights. The system allows developers to ingest repositories and interact with them through natural language queries. Users can ask questions such as “How does authentication work?”, “What are the main API endpoints?”, or “What causes this production issue?” and receive contextual, code-aware answers generated using AI. Context Drop also surfaces relevant files, architectural relationships, dependencies, and implementation details to reduce onboarding time and improve engineering productivity. The platform includes several specialized AI-powered workflows: • Capsule Intelligence Generates contextual explanations and architecture summaries for repositories. • Ticket Analyzer Assists with debugging and support triage by identifying potential root causes and affected files. • Bus Factor Dashboard Maps architecture dependencies and identifies high-risk or under-maintained components. • PR Briefing System Reviews pull requests and summarizes impact, risks, and code quality concerns. • Departure Brief Generator Creates developer handoff documents to preserve institutional knowledge during transitions. • Repository Ingestion Engine —Parses and indexes repositories for intelligent semantic search and analysis. Context Drop is built witha modern frontend and backend architecture, integrated with IBM Granite AI models for intelligent reasoning and contextual understanding. The platform focuses on preserving developer workflows while augmenting productivity with AI-assisted engineering intelligence.The goal of Context Drop is to reduce knowledge silos, accelerate onboarding, simplify maintenance, and make large codebases easier to understand and evolve.

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