# Edit/Customise Smart Contracts

*Accelchain empowers developers with a comprehensive Integrated Development Environment (IDE), offering extensive capabilities for refining and customizing smart contracts.*

#### **Feature-Rich IDE**

Accelchain's IDE offers a comprehensive suite of tools for developers to seamlessly edit and customize smart contracts created using built-in modules or the Generative AI. This feature-rich environment enhances the developer's ability to fine-tune contract logic and functionality.

<figure><img src="/files/UgWVE9eJOWtefS2ECqia" alt=""><figcaption></figcaption></figure>

#### **AI-Generated Functions**

For users requiring additional functions, Accelchain's IDE integrates with the Generative AI. Developers can prompt the AI with a description of the desired function, and the AI generates the code. The resulting functions are presented in a list on the right navbar, alongside prebuilt functions, allowing for easy drag-and-drop integration into the contract.

#### Upload Imports

Accelchain's project structure revolves around user-generated contracts, providing the flexibility to import external contracts, such as OpenZeppelin contracts or others. This allows users to enhance their smart contracts by seamlessly uploading dependency contracts, ensuring a modular and extensible approach to development.

#### **Compiler Integration**

Accelchain's IDE is intricately linked with the Solidity compiler. Developers have the flexibility to choose the Solidity version for compilation. The smart contract is then compiled within the IDE, and any errors or issues are highlighted directly in the code, streamlining the debugging process.


---

# 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://accelchain.gitbook.io/docs/design/edit-customise-smart-contracts.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.