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README.md

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# CodeContext.NET
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AI Context Generator for C# Codebases - Analyzes your C# projects to detect patterns and generate context for AI tools like ChatGPT and GitHub Copilot.
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[![CI](https://github.com/Nonanti/CodeContext.NET/actions/workflows/ci.yml/badge.svg)](https://github.com/Nonanti/CodeContext.NET/actions/workflows/ci.yml)
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[![.NET](https://img.shields.io/badge/.NET-9.0-512BD4)](https://dotnet.microsoft.com)
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[![License](https://img.shields.io/badge/license-MIT-blue)](LICENSE)
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## Features
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Ever spent hours explaining your codebase patterns to ChatGPT? Or wished GitHub Copilot understood your team's coding style? **CodeContext.NET** solves that.
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- **Pattern Detection**: Automatically detects coding patterns in your codebase
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- Naming conventions (PascalCase, camelCase, underscore prefixes)
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- Error handling patterns (Result<T>, try-catch, exceptions)
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- Async/await patterns
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- Dependency injection patterns
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- Return type patterns
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- **Package Analysis**: Identifies all NuGet packages used in your project
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- **Architecture Detection**: Recognizes common architectural layers
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- **Multiple Export Formats**: JSON, Markdown, Plain Text
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- **AI Integration**: Generates optimized prompts for ChatGPT and GitHub Copilot
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- **Smart Filtering**: Automatically excludes bin, obj, and hidden folders
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## What It Does
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## Installation
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This tool scans your C# project and creates a context file that tells AI assistants how your code works. No more explaining your patterns over and over.
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### As a Global Tool
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```bash
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dotnet tool install --global CodeContext.CLI
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codecontext --path ./MyProject
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```
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### From Source
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```bash
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git clone https://github.com/Nonanti/CodeContext.NET
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cd CodeContext.NET
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dotnet build
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dotnet tool install --global --add-source ./src/CodeContext.CLI/nupkg CodeContext.CLI
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```
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That's it. You get a context file ready to paste into any AI chat.
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## Usage
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## Real Example
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### Basic Usage
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```bash
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# Analyze current directory
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codecontext
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Let's say you have this in your codebase:
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# Analyze specific project
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codecontext --path /path/to/project
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```csharp
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private readonly IUserService _userService;
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# Export as JSON
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codecontext --format json --output ./output
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# Verbose output
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codecontext --verbose
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public async Task<Result<User>> GetUserAsync(int id)
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{
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// your implementation
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}
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```
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### Command Line Options
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- `-p, --path`: Path to analyze (default: current directory)
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- `-o, --output`: Output directory (default: current directory)
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- `-f, --format`: Output format - Json, Markdown, PlainText (default: Markdown)
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- `-v, --verbose`: Enable verbose output
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- `-h, --help`: Show help information
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CodeContext detects:
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- You use underscore for private fields
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- Your async methods end with "Async"
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- You prefer Result<T> over exceptions
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## Example Output
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Next time you ask AI for help, it writes code YOUR way, not some generic tutorial style.
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### Markdown Format
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```markdown
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## Detected Patterns
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## Quick Start
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### Naming Convention
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- Public methods use PascalCase naming
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- Confidence: 90%, Occurrences: 45
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Install it:
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```bash
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dotnet tool install --global CodeContext.CLI
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```
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### Error Handling
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- Use Result<T> pattern for error handling instead of exceptions
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- Confidence: 85%, Occurrences: 23
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Run it:
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```bash
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codecontext
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```
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### Async Pattern
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- Async methods end with 'Async' suffix
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- Confidence: 95%, Occurrences: 38
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You'll get something like:
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```
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✓ Found 5 patterns
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✓ Found 12 packages
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✓ Context saved to: codebase-context.md
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```
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### Using with AI Tools
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## The Output
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Copy the generated context and paste it at the beginning of your ChatGPT conversation:
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Here's what you actually get:
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```markdown
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Private fields start with underscore (_)
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Async methods end with 'Async' suffix
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Use Result<T> pattern for error handling
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Dependencies injected through constructor
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```
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I'm working on a C# codebase with the following patterns:
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[Paste context here]
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Now, help me write a new service that follows these patterns...
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Just copy this into ChatGPT/Claude/Copilot before asking for code.
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## Options
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Keep it simple:
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```bash
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codecontext # scan current folder
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codecontext -p ../other-project # scan different folder
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codecontext -f json # want JSON instead
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codecontext -v # see what it's doing
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```
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## Requirements
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## Performance
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Fast enough that you won't grab coffee:
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- Small project (10 files): ~1 second
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- Medium project (500 files): ~3 seconds
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- Large project (10,000 files): ~10 seconds
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It runs parallel analysis on all your CPU cores.
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- .NET 9.0 or later
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- Works on Windows, macOS, and Linux
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## Building From Source
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## Building from Source
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Standard .NET stuff:
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```bash
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git clone https://github.com/Nonanti/CodeContext.NET
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cd CodeContext.NET
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dotnet restore
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dotnet build
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dotnet test
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```
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## Contributing
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## Why I Built This
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Got tired of ChatGPT writing Java-style C# code. Wanted it to match my style without a 10-paragraph prompt every time.
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## Requirements
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Contributions are welcome! Please feel free to submit a Pull Request.
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- .NET 9.0+
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- Windows/Mac/Linux
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## License
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MIT License - see [LICENSE](LICENSE) file for details
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MIT - do whatever you want with it.
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## Author
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---
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Created by Berkant ([@Nonanti](https://github.com/Nonanti))
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Built by [@Nonanti](https://github.com/Nonanti)

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