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?
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?
In the spirit of 12 Factor Apps. The source for this project is public at https://github.com/humanlayer/12-factor-agents, and I welcome your feedback and contributions. Let's figure this out together!
I've tried every agent framework out there, from the plug-and-play crew/langchains to the "minimalist" smolagents of the world to the "production grade" langraph, griptape, etc.
Description and README excerpt from humanlayer/12-factor-agents on GitHub ↗.
humanlayer/12-factor-agents was first seen on GitHub · Trending TypeScript today on Nov 8, 2026. Since then it has appeared in 2 checks on 1 different day. Its best position was #16 of 16, reached on Nov 8, 12:11 UTC. It is #16 right now.
Position on GitHub · Trending TypeScript today at every check (lower is better).
Best rank per day (UTC).
today as reported by GitHub.
Archived daily, weekly and monthly lists that include this entry.
Yes. As of Nov 8, 15:11 UTC it is #16.
#16 on GitHub · Trending TypeScript today, on Nov 8, 12:11 UTC. Trendoday checks this list every 180 minutes.
It was first seen on Nov 8, 2026 and has been on the list on 1 day (2 checks) since.
Mostly TypeScript; it is licensed under Other. It has 27.0k stars and 2037 forks.