It is a library designed to embed a developer agent, referred to as a "smol developer," into your own application, enabling human-centric and coherent whole program synthesis.
It is a library designed to embed a developer agent, referred to as a “smol developer,” into your own application, enabling human-centric and coherent whole program synthesis. This agent acts as a personal junior developer, allowing you to build and maintain flexible, customizable app scaffolding through a collaborative, iterative process with AI. Unlike rigid, one-shot tools like create-react-app, this system supports creating “create-anything-app” workflows, where you develop prompts in a tight loop with the smol developer to generate and refine codebases.
The smol developer can be used to prototype or develop applications by leveraging AI-enabled workflows while maintaining human control. Once the AI-generated code no longer adds value, developers can seamlessly take over the codebase without disruption. The system also supports bootstrapping prompts from existing codebases, though this is a future direction. The library is importable and can be integrated into projects, with usage examples and documentation provided in the repository’s main.py file.
To use the library, you can start a server and interact with it via API commands or a Python client library. The workflow involves creating tasks, executing steps, and receiving responses. The system is designed to be flexible, allowing developers to adapt it to their specific needs. Examples of its capabilities include generating full working OpenAI CLI Python apps, scaffolding complex React/Node/MongoDB full-stack apps, and creating ChatGPT plugins or other applications from prompts.
The feedback loop for generating programs with GPT-4 currently takes 2-4 minutes, with occasional spikes, but improvements are expected over time. The project is actively seeking contributions, including alternative implementations, deployment strategies, and examples. Additional resources, insights, and reflections are available through the Latent Space newsletter. The library is open to discussions, pull requests, and issue submissions to further enhance its functionality.
"It is a fast and lightweight framework designed for creating decentralized agents with ease. The uAgents library, developed by Fetch.ai, enables the creation of autonomous AI agents in Python using simple and expressive decorators.
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