הנדסת רתמה: בניית כלוב הייצור לסוכנים חזקים

תקציר מקורי באנגליתMike Chambers puts a dictionary entry on screen: a harness is a set of straps and fastenings used to control an animal. Swap animal for model and the definition holds. His working version is subtraction. Take an agent, remove the model, and everything left over is the harness. Chambers is a senior AI specialist developer advocate at AWS, and he splits the field in two. There are agents we use, coding assistants and productivity tools, where the harness is memory, skills, tools, MCP servers, and the standards your team deploys to everyone. Then there are agents we build, and those need far more: loop management, scaling, payments, identity, runtime, context management, and the item he lists last while insisting it should come first, observability and evaluation. Writing all of that into one