CodeMind AI
AI Codebase Analyzer
Next.js
LangChain & GPT
CodeMind AI is an intelligent developer tool that analyzes any codebase and generates visual architecture maps, component flows, dependency graphs, and refactor insights using Next.js, React, LangChain, and GPT models. It helps engineers understand complex projects in seconds with a clean, interactive dashboard.
Project Link
About
CodeMind AI is a full-stack, AI-powered code analysis platform built with Next.js and React. It extracts architectural patterns from uploaded repositories, visualizes component trees, dependency flow, routing, and API interactions, and generates human-readable documentation. The system combines static analysis with AI reasoning to uncover hidden bottlenecks, anti-patterns, and refactoring opportunities. Designed as a developer-first tool, it delivers a clean dashboard experience that accelerates onboarding, debugging, and architectural decision-making for modern frontend projects.
AI-Driven Code Flow Visualization
Automatically generates component trees, dependency graphs, routing structures, and API paths to help developers understand unfamiliar codebases instantly.
Intelligent Refactor Insights
Uses GPT-based reasoning to detect large components, nested logic, redundant imports, heavy re-renders, and performance issues, providing actionable improvement suggestions with code diffs.
Developer-Centric Dashboard UI
A clean, interactive dashboard built with shadcn/ui, Tailwind, and D3.js, giving engineers a visual and intuitive way to explore project architecture and navigate complex flows.
One-Click Documentation Generator
Produces architecture documents, mermaid diagrams, component summaries, and onboarding guides, making codebase documentation fast, consistent, and effortless.
Tech Stack Used
Next.js
React
Shadecn/ui
TailwindCSS
Firebase
LangChain
GPT
My Roles & Responsibility
Founder & Lead Developer
Led the end-to-end product vision, architecture, and implementation of CodeMind AI, defining core features such as code-flow visualization, dependency graphs, refactor insights, and AI-powered analysis workflows.
Designed and built the complete frontend and backend system using Next.js, React, LangChain, and GPT models, integrating static analysis engines, server actions, and visual dashboards.
Architected the AI pipeline responsible for parsing repositories, generating structured context, and producing accurate architecture documentation, performance insights, and refactoring suggestions.
Owned all UX, DevOps, deployment, and optimization decisions, including dashboard design, D3.js visualizations, authentication, hosting strategy, and CI/CD setup, ensuring a seamless developer-first experience.
