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ArchonCLI Features 🌟

ArchonCLI provides a comprehensive set of features designed to make codebase navigation and understanding effortless.

🧠 Semantic Understanding

Unlike traditional search tools that treat code as plain text, ArchonCLI understands the structure of your code:

  • Syntax-Aware Parsing: Uses Tree-Sitter to identify functions, classes, and variables.
  • Symbol Indexing: Maps out how different parts of your code relate to each other.
  • Multi-language Support: Supports Go, TypeScript, JavaScript, Python, and more.

🔍 Semantic Search (RAG)

ArchonCLI uses Retrieval-Augmented Generation to find the most relevant parts of your codebase:

  • Vector Embeddings: Converts code snippets into mathematical vectors to find semantic similarities.
  • Local Storage: Your code index is stored locally using chromem-go, ensuring privacy and speed.
  • Contextual Answers: When you ask a question, ArchonCLI finds relevant code and provides it as context to the AI.

💻 Dual Interface

ArchonCLI offers two ways to interact with your code:

1. Interactive TUI (Terminal User Interface)

  • Chat Interface: Familiar chat experience inside your terminal.
  • Thinking Indicator: Real-time feedback when the AI is processing.
  • Context Viewer: View exactly what code the AI is looking at.
  • Resource Monitor: Track token usage and estimated costs in real-time.

2. Command Line Interface (CLI)

  • Scriptable: Perfect for CI/CD pipelines or local automation.
  • JSON Output Support: Easy integration with other tools.
  • Watch Mode: Automatically re-indexes files as you save them.

🛠️ Developer Productivity Tools

  • AI Code Review: Analyze staged changes for bugs and best practices.
  • Smart Commit Messages: Automatically generate commit messages based on your changes.
  • Unit Test Generation: Create comprehensive tests for your functions with a single command.
  • Architectural Analysis: Detect code smells and design pattern violations.
  • Diagram Generation: Generate Mermaid or PlantUML diagrams of your code structure.

⚡ Performance Optimization

  • Context Caching: Uses Google Gemini 3's caching feature to reduce latency and costs by up to 90%.
  • Rate Limiting: Intelligent token bucket implementation to stay within API quotas.
  • Incremental Indexing: Only re-indexes files that have actually changed.