The hidden reason LLMs still need you in the loop
What engineers add that the model still can’t replicate LLMs have transformed how technical teams write, analyze and design systems. They deliver speed and reach but they also introduce instability. Anyone who has worked with them sees the pattern. The same prompt can produce different answers. The same reasoning chain can shift when the context window changes. These models are powerful but they are not stable in the way engineers expect from production systems. This inconsistency is not a narrow bug. It is a property of how these models work. ...