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?
-
Updated
Sep 21, 2025 - TypeScript
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?
Building Agents with LLM structured generation (BAML), MCP Tools, and 12-Factor Agents principles
Tiny Agent: Production-Ready LLM Agent SDK for Every Developer
🐣 TinyAgent that thinks in python and execute it in the cloud with extendable hooks
Portable Spec-Driven Development (SDD) template with Docker Compose, Claude/Gemini/OpenAI agent-ready workflows, brownfield/greenfield bootstrapping, and Human-in-the-Loop (HITL) guardrails for safe, scalable coding.
A comprehensive slide deck application presenting best practices and principles for AI-powered software development workflows.
Hermes Production Patterns — 面向 Hermes Agent 的生产级工程模式集。装了 Hermes 却不知道怎么写靠谱的技能?Cron 跑偏没人发现?输出质量全靠肉眼审查?状态全靠脑子记?每条模式都在真实 7×24 环境验证过。2026-08 已同步 Hermes 最新能力:Monitor 原生监控(变了才烧 token)、delegate Checker、能力×模式映射。
12-Factor AI Crawler — content extraction, SEO generation, knowledge self-evolution. Multi-source: YouTube, Web, Reddit, Twitter, WeChat, Zhihu.
Tech-stack-agnostic reference architecture and machine-enforced harness for building reliable AI agent loops — deterministic orchestrator, machine-verifiable stop conditions, maker/checker verification, file-based state.
Add a description, image, and links to the 12-factor-agents topic page so that developers can more easily learn about it.
To associate your repository with the 12-factor-agents topic, visit your repo's landing page and select "manage topics."