12-Factor Agents
What it is
A collection of engineering principles for building reliable, production-grade LLM-powered software. It outlines twelve factors, such as owning prompts and context windows, treating tools as structured outputs, and managing state explicitly, to guide developers away from fragile agent frameworks.
The problem it solves
The lack of clear, production-ready engineering principles for building reliable LLM applications, leading to fragile, hard-to-maintain, or overly complex agent implementations.
What you could use it for
- Designing the architecture for a new LLM-powered application
- Refactoring existing agent code to be more deterministic and maintainable
- Establishing engineering standards for a team building AI products
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.