problem statement

Joining a large codebase is slow and frustrating. New engineers spend days — sometimes weeks — just figuring out what a repo does, where the important code lives, and how the pieces connect. There's no map. Documentation is usually stale. Senior devs get interrupted constantly answering the same questions.

The gap: there's no fast, interactive way for a developer to understand a codebase without reading every file themselves or pestering teammates.

solution

How OrbitGuide Fixes It: OrbitGuide connects to any GitLab repository and runs an AI-powered analysis pipeline that produces an instant understanding layer on top of the codebase:

AI Overview — a plain-English summary of what the repo does, its purpose, main modules, key services, and entry points Streaming AI Chat — ask any question about the codebase and get answers in real time (SSE streaming, full message history) Learning Paths — generate step-by-step onboarding guides for any topic (e.g. "how does authentication work?") Architecture Explorer — component dependency graph, layer breakdown, and ASCII flow diagram Health Score — AI-evaluated codebase health across maintainability, documentation, test coverage, and complexity No manual setup. No config files. Just paste a GitLab URL.

Inspiration

Understanding a new codebase is one of the biggest challenges developers face. Whether joining a new team, contributing to open source, or exploring an unfamiliar repository, developers often spend days reading documentation, tracing dependencies, and asking senior engineers how different components interact.

We wanted to solve this onboarding problem by leveraging GitLab Orbit and AI. Our goal was to create a tool that could transform any GitLab repository into an interactive knowledge base, helping developers understand architecture, workflows, and implementation details within minutes rather than days.

What it does

OrbitGuide is an AI-powered repository intelligence platform that helps developers quickly understand GitLab repositories.

Users simply provide a GitLab repository URL, and OrbitGuide automatically: Generates an AI-powered repository summary Identifies key modules and services Creates architecture and dependency insights Provides repository health analysis Generates personalized learning paths Enables repository-specific AI chat for developer questions

Instead of manually exploring files and documentation, developers can interact with the repository through natural language and receive contextual answers.

How we built it

OrbitGuide combines GitLab APIs, AI models, and modern web technologies.

Frontend: React Vite TypeScript Tailwind CSS shadcn/ui

Backend: Node.js Express TypeScript

Database: PostgreSQL Drizzle ORM

AI Layer: Groq API Llama 3.3 70B Versatile

GitLab Integration: GitLab REST API GitLab Personal Access Tokens GitLab Orbit

Challenges we ran into

One of the biggest challenges was extracting meaningful context from repositories of varying sizes and structures. Different projects organize code differently, making it difficult to create a generalized understanding system.

Another challenge was balancing response quality and performance. AI-generated insights needed to be both accurate and fast enough to provide a smooth user experience.

We also faced challenges designing architecture visualizations and learning paths that would remain useful across repositories written in different languages and frameworks.

Accomplishments that we're proud of

Successfully built an end-to-end AI-powered repository analysis platform. Integrated GitLab repository data into a meaningful developer experience. Created repository-specific AI chat rather than generic AI responses. Developed personalized learning paths to accelerate developer onboarding. Built architecture exploration and repository health analysis features. Delivered a solution that aligns directly with the vision of AI-native software development powered by GitLab Orbit.

What we learned

This project taught us that context is everything for AI. Large language models become significantly more useful when they are provided with structured repository information rather than isolated code snippets.

We also learned the importance of developer experience design. The most valuable insights are not necessarily the most complex ones—they are the ones that help developers solve real onboarding and understanding challenges quickly.

Additionally, we gained hands-on experience integrating AI systems, repository analysis workflows, and scalable full-stack application architecture.

What's next for OrbitGuide

We plan to expand OrbitGuide beyond repository exploration and turn it into a comprehensive developer intelligence platform.

Future improvements include:

Multi-repository analysis Pull request intelligence Automated architecture documentation Security and code quality insights Team onboarding analytics Repository evolution tracking Cross-project dependency mapping AI-powered codebase migration assistance Our long-term vision is to make understanding any codebase as simple as asking a question.

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