Add quickstart guide and CONTRIBUTING.md

CONTRIBUTING.md

@@ -0,0 +1,62 @@
+# Contributing to Tinker
+
+Good day! Thank you for your interest in contributing to Tinker.
+
+We welcome contributions! Please follow these guidelines to help us maintain the project quality.
+
+## Development Setup
+
+```bash
+# Clone the repository
+git clone https://github.com/thinking-machines-lab/tinker.git
+cd tinker
+
+# Install dependencies
+uv sync
+
+# Activate virtual environment
+source .venv/bin/activate
+
+# Run tests
+pytest
+```
+
+## Code Style
+
+- We use [ruff](https://docs.astral.sh/ruff/) for linting and formatting
+- Run `ruff check .` to lint
+- Run `ruff format .` to format
+- Type hints are required via mypy
+
+## Submitting Changes
+
+1. Fork the repository
+2. Create a feature branch (`git checkout -b feature/your-feature`)
+3. Make your changes and add tests
+4. Run the test suite
+5. Commit with clear messages
+6. Push to your fork
+7. Open a Pull Request
+
+## Pull Request Guidelines
+
+- PRs should pass all tests
+- Include a clear description of changes
+- Link any related issues
+
+## Testing
+
+```bash
+# Run all tests
+pytest
+
+# Run specific test file
+pytest tests/test_models.py
+
+# Run with coverage
+pytest --cov=tinker
+```
+
+## License
+
+By contributing, you agree that your contributions will be licensed under the Apache-2.0 license.

README.md

@@ -5,3 +5,63 @@
   Documentation:
   <a href="http://tinker-docs.thinkingmachines.ai/">tinker-docs.thinkingmachines.ai</a>
 </div>
+
+## Installation
+
+```bash
+# PyPI
+pip install tinker
+
+# uv (recommended)
+uv add tinker
+```
+
+## Quickstart
+
+### CLI
+
+```bash
+# Train a model
+tinker train --name my-model --training-file training_data.jsonl
+
+# List your models
+tinker models list
+
+# Get model details
+tinker models get <model_id>
+```
+
+### Python SDK
+
+```python
+from tinker import Tinker
+
+# Initialize client
+client = Tinker(api_key="your-api-key")
+
+# Create a training run
+run = client.training.create(
+    name="my-model",
+    training_file="training_data.jsonl",
+)
+print(f"Training started: {run.id}")
+```
+
+### Using the API
+
+```bash
+# Set API key
+export TINKER_API_KEY="your-api-key"
+
+# Or use with Python
+from tinker import Tinker
+client = Tinker()  # Automatically reads TINKER_API_KEY
+```
+
+## Documentation
+
+Full documentation available at [tinker-docs.thinkingmachines.ai](http://tinker-docs.thinkingmachines.ai/)
+
+## License
+
+[Apache-2.0](LICENSE)