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
22.9k
Forks
1.8k
Open Issues
27
Watchers
201
Contributors
16
Weekly Commits
0
Language
TypeScript
License
NOASSERTION
Last Commit
Sep 21, 2025
Created
Mar 31, 2025
Latest Release
Release Date
Synced: Jun 3, 2026
Quality Scores
Documentation Qualityw: 20%
5.6

No dedicated docs site. Description: 138 chars. Stars signal: 22,948. Contributors: 16. Score: 5.6/10

Community Healthw: 20%
7.5

Stars: 22,948. Contributors: 16. Watchers: 201. Forks: 1,753. Issue ratio: 0.1%. Score: 7.5/10

Maintenance Velocityw: 15%
2.4

Last commit: 255d ago. Weekly commits: 0. No releases published. Maturity bonus: 1.2y old. Score: 2.4/10

API Design & DXw: 20%
7.6

Stars/issues ratio: 850. Typed language: TypeScript. No dedicated API docs. License: NOASSERTION. Popularity signal: 22,948 stars. Score: 7.6/10

Production Readinessw: 15%
5.1

Battle-tested: 22,948 stars. Peer review: 16 contributors. No versioned releases. Licensed: NOASSERTION. Age: 1.2 years. Maintenance: last commit 255d ago. Score: 5.1/10

Ecosystem Integrationw: 10%
8.1

Fork interest: 1,753. Major ecosystem: TypeScript. License: NOASSERTION. Adoption: 22,948 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