backend-gpt

BackendGPT

Feature: gpt CLI: autogpt back

BackendGPT specializes in generating production-ready server-side code. Given a project goal and a target language, it generates complete backend implementations including API endpoints, data models, database integrations, authentication logic, and dependency configurations.

What BackendGPT Solves

Writing boilerplate backend code, e.g. route handlers, middleware, schema definitions, Docker configurations is time-consuming and predictable. BackendGPT generates this scaffolding instantly, correctly structured for the chosen language and framework, so you can focus on business logic.

Supported Languages

BackendGPT accepts any programming language string. The LLM adapts its output accordingly. Common examples:

Language	Typical Output
rust	Axum/Actix-web server with Cargo.toml
python	FastAPI or Flask app with requirements.txt
javascript	Express.js or Fastify app with package.json

CLI Usage

autogpt back

You will be prompted for a language and project goal.

SDK Usage

use autogpt::prelude::*;

#[tokio::main]
async fn main() {
    let persona = "Backend Developer";
    let behavior = "Develop a weather backend API in Rust using axum.";

    let agent = BackendGPT::new(persona, behavior, "rust").await;

    AutoGPT::default()
        .with(agents![agent])
        .build()
        .expect("Failed to build AutoGPT")
        .run()
        .await
        .unwrap();
}

The third argument to BackendGPT::new is the target programming language.

Output

workspace/backend/
├── main.py        # (Python) Application entry point
├── template.py    # (Python) Template/model definitions
└── ...            # Additional files based on the project

For Rust projects the generated files are placed as a complete Cargo project structure.