Kishan K S@Kishan_K_S

Problem: Developers often spend significant time understanding unfamiliar repositories and maintaining existing projects. Setup instructions may be incomplete, dependencies can become difficult to track, documentation gets outdated, tests may be missing, and potentially unused or problematic code can be difficult to identify. These issues are scattered across different files and tools, making repository maintenance time-consuming. Solution: RepoPilot is an AI-powered developer assistant that analyzes a repository and provides a centralized view of its health. Users can provide their repository, after which RepoPilot analyzes relevant project files, source code, configuration, dependencies, documentation, and tests using AI. The platform organizes its analysis into five areas: Setup Assistant, Dependency Analyzer, README Generator, Test Generator, and Dead Code Detector. Each section provides repository-specific findings, explanations, recommendations, and actionable next steps. RepoPilot also generates an overall repository health overview and prioritized action plan so developers can focus on the most important issues first. Target Users: RepoPilot is designed for students, developers, software teams, open-source contributors, and anyone working with an unfamiliar or evolving codebase. User Experience: Users start by providing a repository through the RepoPilot interface. The system analyzes the repository and presents the results through an interactive dashboard. Users can then explore each of the five analysis areas, understand why an issue was detected, identify the relevant project files, and follow the recommended actions. What Makes It Unique: Instead of functioning as a general-purpose chatbot, RepoPilot is designed around the developer's actual repository. Its analysis is organized into a single workflow covering setup, dependencies, documentation, testing, and code health. The combination of repository-specific AI analysis, visual health indicators, evidence-based findings, and a prioritized action plan makes the information easier to understand and act upon. RepoPilot aims to reduce the time developers spend manually exploring and understanding codebases, turning a complex repository into a clear, actionable development plan.

Vertex — Code Archaeologist is a developer tool designed to help developers understand unfamiliar and evolving codebases faster. As repositories grow, reading individual files is not enough to understand how the system is structured, which modules are tightly connected, where maintenance risks are concentrated, or how the architecture evolved. This information is often scattered across source code, dependencies, and Git history, forcing developers to manually piece everything together. Vertex brings these signals into a single interactive workspace by analyzing repository source code and Git history through six complementary views. Overview provides a high-level snapshot of repository structure, activity, health, and key findings. Architecture visualizes relationships between modules and highlights highly connected areas using dependency structure, fan-in, and fan-out. Dependencies provides detailed file and module relationships backed by evidence from actual source-code imports. Technical Debt identifies areas that may require greater maintenance attention. Its risk score is not a prediction of bugs; it is a maintenance/change-risk indicator based on signals such as complexity, code churn, coupling, size, and contributor concentration. History examines commits, contributors, churn, and files that frequently change together. These patterns can reveal architectural coupling that may not be obvious from the current code structure. Developer Guide helps developers entering an unfamiliar repository by identifying entry points, important modules, risky areas, and a recommended exploration path. Vertex is not intended to replace developers or simply summarize code. Its goal is to turn scattered technical information into actionable context, helping developers understand a system faster and make better-informed decisions. Ultimately, Vertex answers four questions: What is here? How is it connected? How did it evolve? Where should I look first?

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