llmifier •

Transform your Dart & Flutter projects into optimized LLM context – get better code generation, more insightful reviews, and precise answers.

What llmifier Does

llmifier extracts and organizes your Dart/Flutter code into a single file that LLMs can understand perfectly:

• ✅ Smart Context Compression - Feed entire projects to LLMs, even with limited context windows
• ✅ Semantic Organization - Files ordered logically (Docs → Config → API → Tests) for optimal comprehension
• ✅ Version Tracking - Each file tagged with package version for accurate historical analysis
• ✅ API Focus - Extract either full code or just public API surface with documentation
• ✅ Developer-Friendly - Simple CLI workflow integrates with your existing development process

Quick Start

# Install globally
dart pub global activate llmifier

# Run in your project directory
llmifier

# That's it! Find your LLM-ready project in llms.txt

Example: From Fragmented Files to LLM-Ready Context

📁 Your Flutter Project      ➡️   📄 Single LLM-Optimized File
├── README.md                     <!-- BEGIN FILE: [v1.2.3] README.md -->
├── pubspec.yaml                  # Project documentation...
├── lib/                          <!-- END FILE: [v1.2.3] README.md -->
│   ├── main.dart
│   └── src/                      <!-- BEGIN FILE: [v1.2.3] pubspec.yaml -->
│       ├── models.dart           # Package configuration...
│       └── utils.dart            <!-- END FILE: [v1.2.3] pubspec.yaml -->
└── test/
    └── widget_test.dart          <!-- BEGIN FILE: [v1.2.3] lib/main.dart -->
                                  # Main app code...
                                  <!-- END FILE: [v1.2.3] lib/main.dart -->

                                  <!-- BEGIN FILE: [v1.2.3] lib/src/models.dart -->
                                  # Model definitions...
                                  <!-- END FILE: [v1.2.3] lib/src/models.dart -->

Command Options

# Generate API-only output with cleaner context
llmifier -m api -o llms-api.txt

# Process a specific project directory
llmifier -p path/to/your/project

# Generate a default config file
llmifier -i

# See all options
llmifier -h

How Developers Use llmifier

For Code Generation

Structure your whole project context to get precise, relevant code generation that fits your architecture and styles:

# Create feature with project context
1. Run: llmifier
2. Paste llms.txt into your LLM
3. Prompt: "Add a user authentication feature matching our existing architecture"

For Code Reviews

Get meaningful, holistic code reviews that understand your entire project:

# Compare versions for insightful review
1. Run: llmifier on version 1.0
2. Run: llmifier on version 1.1
3. Prompt: "What architectural changes were made between these versions?"

For Documentation

Generate comprehensive documentation based on actual code structure:

# Create targeted API documentation
1. Run: llmifier -m api
2. Prompt: "Create developer documentation for our public API"

For Onboarding

Help new team members (or your LLM assistant) quickly understand your codebase:

# Create onboarding guide
1. Run: llmifier
2. Prompt: "Explain the architecture and key components of this project"

Customizing Extraction

Create a llmifierrc.yaml in your project root (or generate one with llmifier -i):

# Basic configuration
mode: api  # 'full' or 'api'
output: project-context.txt

# File selection patterns
include:
  - "**README.md"
  - "**lib/**.dart"
  - "**test/integration/**.dart"

exclude:
  - "**build"
  - "**.g.dart"

Contributing

Contributions are welcome! Please feel free to open an issue or submit a pull request on the GitHub repository.

License

This project is licensed under the MIT License - see the LICENSE file for details.