Imaginary Programming: Programming at the Speed of Thought
Imaginary Programming lets you leverage OpenAI's GPT engine as a runtime, enabling you to accomplish tasks previously impossible within your code. This innovative approach empowers frontend developers to seamlessly integrate AI capabilities into their projects.
How it Works
The core concept is straightforward: you define a function prototype in TypeScript (without implementation), and Imaginary Programming uses GPT to handle the rest. This incremental approach allows you to add AI intelligence to your existing Node.js, Next.js, and React projects with ease.
Step-by-step:
- Declare a function prototype: Begin by defining a function prototype in TypeScript, including a detailed comment explaining the function's purpose and expected input/output.
- Imaginary Programming takes over: Imaginary Programming's AI engine uses the function prototype and comments as instructions to generate the necessary code.
Key Advantages
- Simplified AI Integration: No need for extensive ML expertise or months of model training. Simply describe the task, and Imaginary Programming handles the complexity.
- Structured Data Output: Receive structured JSON data from GPT, ensuring compatibility with your existing applications.
- Beyond Code Completion: Unlike code completion tools, Imaginary Programming tackles entirely new problems requiring human-like intelligence.
Use Cases
Imaginary Programming excels in tasks requiring human-like intelligence around text. Examples include:
- Data Generation: Create titles, summaries, and other text content tailored to your user's needs.
- Data Classification: Classify text based on semantic intent or emotion (e.g., sentiment analysis of customer emails).
- Data Parsing: Extract structured data from unstructured text (e.g., extracting names from emails).
Example
Let's say you want to extract names from an email: You'd define a function prototype like this:
/**
* This function extracts all of the names of people from an
* email text and returns them as structured information.
*
* @param emailText - the text of an email from which to
* extract names of people
* @returns an array of objects with optional firstName
* and lastName properties representing the first and last
* names of people mentioned in the email.
* @imaginary
*/
export declare function extractNamesOfPeopleFromEmail(
emailText: string
): Promise<{ firstName?: string; lastName?: string }[]>;
Imaginary Programming would then generate the function's implementation.
Getting Started
You can integrate Imaginary Programming into your existing projects or use the online Playground to experiment. Visit [link removed] to learn more and try it out!
