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
A comprehensive slide deck application presenting best practices and principles for AI-powered software development workflows.
Hermes Production Patterns是一套面向 Hermes Agent(https://github.com/NousResearch/hermes-agent) 的生产级工程模式集。 如果你已经装好了 Hermes，但发现： - 不知道怎么写一个「靠谱」的技能（Skill）？ - Cron 任务跑着跑着就跑偏了，没人发现？ - Agent 输出质量不稳定，全靠肉眼审查？ - 多个任务的状态全靠脑子记，一重启就断片？ - 错误一出来就把上下文炸了，Agent 直接失焦？ 这个项目就是为你准备的。 它不是什么「最佳实践」大合集——每一条模式都在真实的 7×24 运行环境中验证过，踩过坑，打过补丁，最终沉淀为可复用的工程公约。
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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