Well-Architected Framework Relied On Knowing The Call Graph. But Agents Are Not As Predictable.
For over a decade, we religiously used the well architected framework (WAF) in design reviews. Objective assessment with clear guidance from WAF made our designs risk free (or risk managed) with ambiguities and gaps called out. With agentic AI, there is always a little extra ambiguity. The rhythm of WAF does not strictly match one particular assumption underneath agentic AI: that we can diagram…
Over a decade, professionals have diligently relied on the Well-Architected Framework (WAF) during design reviews, using it to provide objective assessments, clear guidance, and to identify ambiguities and gaps. However, with the advent of agentic AI, the rhythm of WAF no longer aligns with the behavior of agentic AI. This disparity stems from the fact that a single user request can trigger a variable number of model calls, memory retrievals, tool invocations, and inter-agent messages.
Consequently, the call graph is no longer fully comprised before deployment. While certain components such as wire protocols, individual components, and hardening mechanisms remain unaffected, the root of the issue lies in the unpredictable execution path that agentic AI introduces. Every design review taught this lesson, demonstrating that the challenge lies not in the model itself, but in understanding what "well-architected" truly means when the system reasons instead of merely responding.
The Well-Architected Agentic AI Lens published by AWS in June 2026 highlights that agentic systems introduce architectural dimensions that existing cloud and GenAI guidance do not address. Google's Cloud Architecture Center also describes the same shift, emphasizing the stochastic nature of agentic AI, where the same input can yield different outputs across runs, and agents can collaborate and take wildly different directions based on numerous parameters.
Thus, it is crucial to question whether a task should even be agentic in the first place, as the cheapest way to reduce agentic AI risk is to not create it on a whim.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
