> ## Documentation Index
> Fetch the complete documentation index at: https://docs.flowx.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# AI Developer
> Generate specific business rules or code expressions from natural language prompts, without manual coding.
## Overview
The AI Developer is an intelligent agent that transforms natural language descriptions into functional code. It helps developers generate business rules, JavaScript expressions, and test data without requiring manual coding. The agent can also edit existing code, provide explanations, and translate between programming languages, significantly accelerating the development process.
***
## Key capabilities
The AI Developer offers two main categories of capabilities:
### Generate new code
Transforms natural language descriptions into code using the data model as context. Supports JavaScript, Python, and MVEL. Produces clean, functional business rule code based on text prompts.
Extracts business rule definitions from uploaded documents. Identifies relevant text on each page that describes business rules, summarizes and presents the information to users in a dropdown, and generates corresponding code based on the selected rule description.
Creates JavaScript expressions for conditional visibility of elements. Uses the data model as context for proper variable references.
Produces JavaScript code for calculated or derived values. Uses the data model to ensure proper variable referencing.
Generates a React Custom Component bundle (JSX, CSS, `package.json`, and sample input data) from a natural-language description. A sample input field lets you supply preview data so the generated component renders meaningfully on first run.
### Edit existing code
Modifies existing code based on natural language instructions. Uses the data model as context for accurate updates.
Iterates on an existing Custom Component bundle through the same conversation. The agent keeps the component context across turns and updates JSX, CSS, `package.json`, or sample input data as requested.
Fixes errors in business rules based on error logs. Provides clear explanations of what the code does.
Converts business rules from one language to another. Maintains functionality while adapting to language-specific syntax.
***
## How to use
The AI Developer is accessible through the FlowX.AI Platform interface. You can:
Choose the capability you need from the AI Developer section.
Provide natural language instructions or upload relevant documents.
Specify programming language preferences when applicable.
Review the generated code and implement it in your process.
For document-based generation, you can upload documents, view extracted rule descriptions in a dropdown, select the rule you want to generate, and receive the corresponding code.
***
## How it works
The AI Developer architecture integrates large language models with the FlowX.AI Platform to convert natural language to code.
```mermaid theme={"system"}
%%{
init: {
'theme': 'base',
'themeVariables': {
'primaryColor': '#f1774a',
'primaryTextColor': '#000',
'primaryBorderColor': '#000',
'lineColor': '#6b6b6b',
'secondaryColor': '#f3b861',
'tertiaryColor': '#000'
}
}
}%%
graph TD;
Start([Start]):::primary
subgraph DI_Platform_process [DI Platform process]
Classify_Document[Classify Document]:::secondary
Summarize[Summarize]:::secondary
Identify_process[Identify process]:::secondary
Extract_Prompt[Extract Prompt]:::secondary
end
Generate_Business_rule[Generate Business rule]:::secondary
END([END]):::primary
Start --> DI_Platform_process;
DI_Platform_process --> Generate_Business_rule;
Generate_Business_rule --> END;
%% Styling
classDef primary fill:#f1774a,stroke:#000,stroke-width:1px,color:#000;
classDef secondary fill:#f3b861,stroke:#000,stroke-width:1px,color:#000;
```
***
## Best practices
### ✅ DO the following
**Be specific with your requirements:**
Clearly state what the business rule should accomplish, including conditions, actions, and expected outcomes.
**Reference data model elements:**
Mention specific data fields or entities that the code should interact with to ensure proper context.
**Specify the programming language:**
Always indicate whether you need JavaScript, Python, or another supported language for your code generation.
**Provide edge cases:**
Mention special conditions or exceptions that the business rule should handle to ensure reliable code.
### ⛔ **DON'T** do these
**Don't be vague:**
Avoid ambiguous descriptions that can lead to incorrect implementation. Be precise about the logic you need.
**Don't reference external systems:**
The AI Developer has no knowledge of external systems not defined in the provided context.
**Don't skip defining variables:**
Make sure to define all variables or data fields that your business rule will use.
**Don't expect platform-specific knowledge:**
The agent doesn't know about keys or information not defined in the data model or provided context.
***
## Related resources
Build and configure custom AI agents for your business needs
Generate process definitions and data models from natural language descriptions
Automatically generate UI components and screen layouts from process definitions