# Silon

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Silon is Epsilon Intelligence’s AI Software Engineer. It is an autonomous model that can plan, analyze, and execute complex code and software engineering tasks with a single prompt or a series of prompts. It has its own CLI (Command Line Interface), IDE (Integrated Development Environment), and a IWB (integrated web browser). It is composed of a sophisticated virtual environment where AI agents, functioning as autonomous software engineers, can interpret commands and user requests to build, test, and deploy complex applications across a multitude of platforms.<br>

Silon initiates the process by developing a comprehensive, step-by-step strategy to effectively address the problem. It then further refines this approach with a meticulously detailed plan, setting a solid foundation for the task ahead. Moreover, through its integrated browser, Silon is equipped to explore API documentation, acquiring the necessary knowledge to integrate APIs into the user’s project.<br>

### Silon Capabilities:

* Autonomous Development: AI agents can autonomously plan and execute complex coding tasks, manifesting your ideas to create fully functional software from scratch or through no-code methodologies.
* Continuous Learning: These AI agents can learn new technologies and methodologies on the fly, ensuring that they remain at the cutting edge of software development practices.
* Error Resolution: With advanced debugging capabilities, the AI can identify, analyze, and fix bugs in the code, enhancing the reliability and stability of the applications it develops.
* Collaborative Environment: The workspace is designed for collaboration, allowing human engineers to work alongside AI agents, providing guidance and feedback to refine and simplify the development process.
* Real-Time Progress Reporting: Users can monitor the progress of their projects in real-time, with detailed reports and updates provided by the AI agents throughout the development cycle.<br>

### Workflow:

1. Initiation: Users initiate the process by providing commands or requests to the AI agent, outlining the desired features and functionalities of the application.
2. Planning: The AI agent plans the development process, selecting the appropriate technologies and frameworks needed to meet the user’s requirements.
3. Coding: The agent then proceeds to assist the user write code with a litany of tools at its disposal including code completion and offering suggestions, all while continuously learning and adapting to new information.
4. Testing: The agent assists the user in debugging and features standard testing practices like unit testing to ensure that it meets quality standards and is free of errors and bugs.
5. Deployment: The AI oversees the deployment of the application code, making it available for end-users or further development stages.


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

```
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```

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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.