A guide that documents modular principles for engineering LLM applications intended for production use. It targets builders who want to apply specific agent design patterns to existing products without performing a full framework rewrite.
Project overview
Provides engineering principles for making LLM-powered software more reliable, scalable, and maintainable by applying small, modular agent-building concepts rather than starting over.
Project type
AI Agent · Prompt Engineering · Learning Resources
Use cases
Learning & Education
Deployment
Refer to project documentation
License
License pending
Best for
Developers and AI engineers looking for educational guidance to incrementally apply modular agent concepts to existing products.
Key capabilities
Documents modular agent-building concepts that builders can incorporate into existing products.
Includes a specific factor covering the ownership of an LLM application's context window.
Includes a specific factor covering natural-language-to-tool-call design.
Limitations and risks
The project functions as an educational tutorial and does not include documented runtime requirements, external services, model requirements, or GPU requirements.
There is no documented data boundary, cost dependency, telemetry setup, or coding requirement, meaning users must evaluate their own infrastructure and privacy constraints independently.
Getting started
The resource does not document setup difficulty, specific prerequisites, or a first-success path for installation.
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GitHub project description: What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
README: Even if LLMs [continue to get exponentially more powerful](https://github.com/humanlayer/12-factor-agents/blob/main/content/factor-10-small-focused-agents.md#what-if-llms-get-smar…
README: The fastest way I've seen for builders to get good AI software in the hands of customers is to take small, modular concepts from agent building, and incorporate them into their ex…
README: - [Factor 3: Own your context window](https://github.com/humanlayer/12-factor-agents/blob/main/content/factor-03-own-your-context-window.md)
README: - [Factor 1: Natural Language to Tool Calls](https://github.com/humanlayer/12-factor-agents/blob/main/content/factor-01-natural-language-to-tool-calls.md)