@hackproduct9: 🚀 You don’t need 50 tools to build an AI application. You need to understand where each tool fits. Here’s a practical AI Engineering Stack from idea → production 👇 🖥️ Frontend → Next.js / Streamlit 🧠 Orchestration → LangGraph / CrewAI 📚 RAG → Knowledge → Embeddings → Vector DB 🤖 LLM → Ollama + open models 🔌 Tools → MCP → GitHub, Slack, DBs, APIs 💻 Code Agents → Claude Code / Aider 📊 Data + Observability → SQLite, DuckDB, Supabase, Phoenix 🚀 Deployment → Docker, Cloudflare Workers, Hugging Face The important part isn’t memorizing this stack. It’s understanding the layers. Tools will change. Models will change. Frameworks will change. But the mental model stays: Build → Run → Observe → Iterate → Scale. 🔁 Start small. Pick one tool per layer. Build something end-to-end. Then add complexity only when the system actually needs it. 📌 Save this as your AI engineering architecture map. #AI #AIEngineering #AIEngineer #LLM #GenerativeAI

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Monday 07 September 2026 14:50:05 GMT