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
Hermes Production Patterns — 面向 Hermes Agent 的生产级工程模式集⋯装了 Hermes 却不会写靠谱的技能？Cron 跑偏没人发现？输出质量靠肉眼审查？状态全靠脑子记？6 个 Starter Kits + 20 个工程公约 + hpp CLI + 30 条回归反测，每条模式都在真实 7×24 环境验证过。2026-09 已同步 Hermes 最新能力：浏览器自动化、QQ Bot 网关、多模态产出、三层+RRF 检索。
🐣 TinyAgent that thinks in python and execute it in the cloud with extendable hooks
A comprehensive slide deck application presenting best practices and principles for AI-powered software development workflows.
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.
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.
12-Factor AI Crawler — content extraction, SEO generation, knowledge self-evolution. Multi-source: YouTube, Web, Reddit, Twitter, WeChat, Zhihu.
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