probe-code 0.6.0

---
# https://vitepress.dev/reference/default-theme-home-page
layout: home

hero:
  name: "Probe"
  text: "Local, AI-Ready\nCode Intelligence"
  tagline: Make AI work with large codebases, and natively understand it.
  image:
    src: /logo.png
    alt: Probe Logo
  actions:
    - theme: brand
      text: Get Started →
      link: /quick-start
    - theme: alt
      text: GitHub Repo
      link: https://github.com/buger/probe

features:
  - icon: 🔬
    title: Deep Code Understanding
    details: Extract complete functions, classes and structures. Not just lines of code - full context every time.
  
  - icon: ⚡
    title: Built for Speed
    details: Search massive codebases instantly. Powered by ripgrep and tree-sitter for performance that scales with your projects.
  
  - icon: 🛡️
    title: Totally Local
    details: Your code never leaves your machine. Full privacy with zero data collection or cloud dependencies.
  
  - icon: 🧮
    title: Smarter Results
    details: BM25 & TF-IDF algorithms deliver the most relevant code first. Find what you need without the noise.
  
  - icon: 🌍
    title: Multi-Language
    details: Works with Rust, JavaScript, Python, Go, Java, C++, Swift, Ruby and more. One tool for all your code.
  
  - icon: 🤖
    title: AI-Ready
    details: Built for modern workflows with integrated AI chat and MCP server for seamless assistant integration.
---

<StarsBackground />

<div class="main-content">

<FeatureSection>
  <template #content>
    <h2>Semantic Code Search</h2>

    <p>Find code patterns with precision using AST-based search. No more regex headaches or partial matches.</p>
    
    <p>Search for optional chaining patterns:</p>
    
    <div class="language-bash"><pre><code>ast-grep -p '$A?.$B' src/</code></pre></div>
  </template>
  <template #code>
    <div class="language-typescript"><pre><code>function processUser(user: User) {
  if (!user?.isActive) {
    return;
  }
  
  // Process active user
  user.lastSeen = new Date();
  notifyUserActivity(user);
}</code></pre></div>
  </template>
</FeatureSection>

<FeatureSection>
  <template #content>
    <h2>Quick Start</h2>

    <p>Get started with a single command:</p>
    
    <div class="language-bash"><pre><code>curl -fsSL https://raw.githubusercontent.com/buger/probe/main/install.sh | bash</code></pre></div>
    
    <p>Then start exploring your code:</p>
    
    <div class="language-bash"><pre><code>probe search "user authentication" ./src</code></pre></div>
  </template>
  <template #code>
    <div class="language-typescript"><pre><code>// Example of using Probe's Node.js SDK
import { search } from '@buger/probe';

const results = await search({
  query: "user authentication",
  path: "./src",
  options: {
    contextLines: 3
  }
});

console.log(`Found ${results.length} matches`);</code></pre></div>
  </template>
</FeatureSection>

<FeatureSection>
  <template #content>
    <h2>AI Integration</h2>

    <p>Probe offers powerful AI integration capabilities that allow you to leverage large language models to understand and navigate your codebase more effectively:</p>
    
    <ul>
      <li><strong>AI Chat Mode</strong>: Interactive CLI interface</li>
      <li><strong>MCP Server Integration</strong>: Seamless AI editor integration</li>
      <li><strong>Node.js SDK</strong>: Programmatic access to search</li>
    </ul>
  </template>
  <template #code>
    <div class="language-typescript"><pre><code>import { search } from '@buger/probe';
import { ChatOpenAI } from '@langchain/openai';
import { tools } from '@buger/probe';

// Create AI assistant with code search
const searchTool = tools.createSearchTool();
const model = new ChatOpenAI()
  .withTools([searchTool]);

// Ask questions about your code
const result = await model.invoke([
  { role: "system", 
    content: "You are a code assistant." },
  { role: "user", 
    content: "How is auth implemented?" }
]);</code></pre></div>
  </template>
</FeatureSection>

</div>