GitProbe

GitProbe

26/06/2025
Development & Infrastructure
GitProbe - Analyze and Visualize Codebases
An intelligent code analysis tool that creates interactive function call graphs and provides deep insights into any GitHub repository.
gitprobe.com

Table of Contents

Overview

Navigating large or unfamiliar codebases can be daunting when preparing context for AI assistants or auditing architecture by hand. GitProbe streamlines this process by converting any public GitHub repository into a concise, structured summary of its modules, functions, and relationships. Designed for seamless integration with large language models, GitProbe delivers instant context without manual file gathering or token-overrun risks.

Key Features

  • LLM-Context Generation: Transforms a repository into a plain-text summary of its architecture and logic, optimized for AI prompt windows.
  • URL Shortcut Integration: Simply replace “hub” with “probe” in any public GitHub URL to trigger analysis in your browser.
  • File Inclusion/Exclusion Patterns: Include or exclude specific files or directories using glob syntax (for example *.md or src/**).
  • File Size Threshold Setting: Configure a maximum file size (default 50 KB, up to 500 KB) to avoid processing excessively large files.
  • Example Repositories: Quickly experiment with built-in examples (such as FastAPI or GitProbe’s own repo) to see how summaries are structured.
  • Web-Based Interface: Access your repository analyses anywhere through a simple browser UI without installing local tooling.
  • Open Source \& Free for Public Repos: Entirely open-source and no cost for analyzing public GitHub repositories.

How It Works

  1. In your browser, navigate to any public GitHub repository page.
  2. Replace “github.com” in the URL with “gitprobe.com” (or swap “hub” for “probe”).
  3. GitProbe scans the repository’s file tree, applies your include/exclude patterns and size limits, then generates a clean, human-readable summary.
  4. The summary highlights core modules, key functions, dependency relationships, and usage notes—ready to paste into AI prompts or documentation.

Use Cases

  • AI-Augmented Code Review: Provide an LLM with a complete, trimmed codebase overview to get targeted refactoring suggestions.
  • Onboarding New Developers: Share a repository summary instead of forcing new hires to sift through every folder and file.
  • Automated Documentation: Generate initial project documentation or README drafts from the structured output.
  • Security Audits: Quickly identify critical modules and functions for deeper manual or automated security analysis.
  • Academic Research: Supply students or researchers with distilled codebase context when evaluating open-source software.

Pros \& Cons

Advantages

  • Rapid Context Delivery: Eliminates manual file collection and paste-jobs, so AI tools receive only relevant code snippets.
  • Token Efficiency: File size filters prevent prompt overflows while preserving vital architecture details.
  • Zero Setup: No local installs or API keys—just modify the URL and start analyzing.
  • Open Source: Community-driven code encourages transparency, self-hosting, and contributions.

Disadvantages

  • Public Repositories Only: Private-repo analysis requires additional authentication support, which isn’t available yet.
  • Limited Custom Metrics: Focuses on structure and logic summaries rather than code-quality scores or test coverage.
  • No Visual Graphs: Delivers text summaries optimized for AI rather than interactive call-graph diagrams.

How Does It Compare?

  • Gitingest
    Offers a similar URL-hack approach (“hub”→“ingest”) to produce LLM-ready text, but is geared mainly toward README generation and lacks file-pattern filters.
  • LLM-Context (CyberChitta)
    A CLI-only tool that packs repositories into prompts with sophisticated rule inheritance; GitProbe adds a browser-based entry point and size controls.
  • CodeGrab
    Provides a terminal UI for selecting files into an LLM payload, ideal for local projects—GitProbe trades CLI interactivity for one-click web analysis.
  • CodeSee
    Focuses on interactive, visual codebase maps and onboarding tours; GitProbe targets AI workflows with text summaries instead of diagrams.

Final Thoughts

GitProbe delivers an effortless way to distill any public GitHub repository into an AI-friendly summary. By automating context generation through simple URL tweaks, file filters, and size limits, it eliminates manual prep work and helps developers, security teams, and researchers focus on insight rather than setup. For anyone relying on AI or documentation tooling, GitProbe is an essential, zero-friction addition to the toolkit.

GitProbe - Analyze and Visualize Codebases
An intelligent code analysis tool that creates interactive function call graphs and provides deep insights into any GitHub repository.
gitprobe.com