# Getting Started

**System Requirements**

* Minimum: 4GB RAM, modern browser, stable internet connection.
* Recommended: 16GB RAM, GPU support for advanced computations.

**Installation Guide**

1. Install SynthCode AI CLI:

   ```bash
   bashCopy codenpm install synthcode-ai
   ```
2. Authenticate using your API key:

   ```bash
   bashCopy codesynthcode-ai login --api-key YOUR_KEY
   ```
3. Start your first project:

   ```bash
   bashCopy codesynthcode-ai create project-name
   ```

**First Steps**

1. **Create an Account:** Sign up on [www.synthcode.ai](http://www.synthcode.ai) to receive your API key.
2. **Explore Templates:** Access prebuilt workflows tailored for your industry.
3. **Run a Demo:** Try out the "Idea to Code" feature using the following command:

   ```bash
   bashCopy codesynthcode-ai demo
   ```

**Example Workflow**

**Input:**\
\&#xNAN;*"Create a Python script that fetches weather data from an API and displays it."*

**Output:**

```python
pythonCopy codeimport requests

def get_weather(city):
    api_key = "your_api_key"
    url = f"http://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}"
    response = requests.get(url)
    data = response.json()
    print(f"Weather in {city}: {data['weather'][0]['description']}")

get_weather("New York")
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://synthcodeai.gitbook.io/synthcode-ai/getting-started.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.