12-factor Agents: Patterns of reliable LLM applications

a year ago

The project '12-factor-agents' is open-source and welcomes contributions.
Dex has explored various AI agent frameworks and found most 'AI Agents' lack true agentic behavior.
The article introduces '12-factor agents' as a methodology for building reliable, scalable, and maintainable LLM-powered software.
Key factors include natural language to tool calls, owning prompts and context window, and making agents stateless reducers.
The traditional DAG approach is contrasted with agents that let LLMs determine the workflow path dynamically.
A common journey for SaaS builders involves starting with a framework but often needing to rebuild from scratch for quality.
The article emphasizes modular concepts from agent building that can be integrated into existing products for faster deployment.
Disclaimers note the article is not a critique of existing frameworks and acknowledges their contributions to the AI ecosystem.
The author shares additional resources and links for further reading on effective agent building.

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