Loop Engineering And Harness Engineering Crash Course
Code: https://drive.google.com/drive/folders/10Wd8Ps_a8L4uZmSysZchfu1Z5uyCthEl Thanks to our sponsor: Check out Apodex : https://www.apodex.ai/ Apodex Frontier Program : https://www.apodex.com/frontier-program ------------------------------------------------------------------------------------------------ 🚀 **Loop Engineering vs Harness Engineering – The Next Evolution of Agentic AI** Building AI Agents is no longer just about prompts, tools, or connecting an LLM to an API. As AI agents become more autonomous, two concepts are becoming increasingly important: **Loop Engineering and Harness Engineering.** In this video, we understand both concepts with simple, practical examples. 🔥 **What you'll learn:** → What is Loop Engineering? → The **Reason → Act → Observe → Evaluate → Repeat** agent loop → How agents decide when to use tools, retry, change strategy, and stop → Why poorly designed loops make agents unreliable and expensive → What is Harness Engineering? → How the infrastructure surrounding an AI Agent works → Context Engineering & Memory → Tool Calling & MCP → Model Routing & LLM Gateways → Guardrails & Permissions → Sandboxing & Secure Execution → Evaluation & Observability → Retry & Error Recovery → Token & Cost Optimization → Loop Engineering vs Harness Engineering → How these concepts are used in production Agentic AI systems The important shift in AI Engineering is: **Prompt Engineering → Context Engineering → Agent Engineering → Loop Engineering → Harness Engineering** The LLM is only one part of an AI system. The real engineering challenge is building the **loops, tools, context, infrastructure, security, evaluations and observability around the model** that make AI Agents reliable in production. If you're learning **Generative AI, Agentic AI, AI Engineering or Forward Deployed Engineering (FDE)**, these are concepts you should understand in 2026. #AIEngineering #AgenticAI #HarnessEngineering #LoopEngineering #AIAgents #GenerativeAI #LLM #ContextEngineering #MCP #AIEngineer
