STACKQUADRANT

humanlayer/12-factor-agents

Prompt Engineering

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?

6.1
GitHub Metrics
Stars
19.3k
Forks
1.5k
Open Issues
22
Watchers
187
Contributors
16
Weekly Commits
0
Language
TypeScript
License
NOASSERTION
Last Commit
Sep 21, 2025
Created
Mar 31, 2025
Latest Release
Release Date
Synced: Apr 16, 2026
Quality Scores
Documentation Qualityw: 20%
5.5

No dedicated docs site. Description: 138 chars. Stars signal: 19,323. Contributors: 16. Score: 5.5/10

Community Healthw: 20%
7.4

Stars: 19,323. Contributors: 16. Watchers: 187. Forks: 1,462. Issue ratio: 0.1%. Score: 7.4/10

Maintenance Velocityw: 15%
3.0

Last commit: 207d ago. Weekly commits: 0. No releases published. Maturity bonus: 1.0y old. Score: 3/10

API Design & DXw: 20%
7.6

Stars/issues ratio: 878. Typed language: TypeScript. No dedicated API docs. License: NOASSERTION. Popularity signal: 19,323 stars. Score: 7.6/10

Production Readinessw: 15%
5.1

Battle-tested: 19,323 stars. Peer review: 16 contributors. No versioned releases. Licensed: NOASSERTION. Age: 1.0 years. Maintenance: last commit 207d ago. Score: 5.1/10

Ecosystem Integrationw: 10%
8.1

Fork interest: 1,462. Major ecosystem: TypeScript. License: NOASSERTION. Adoption: 19,323 stars. Score: 8.1/10

Tags
12-factor12-factor-agentsagentsaicontext-windowframeworkllmsmemoryorchestrationprompt-engineering
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration