Architecture in the Age of AI
Keep architecture in control when AI generates the code.
How does architecture stay authoritative when AI writes the implementation?
If architecture lives only in documents, AI-generated code will drift from it immediately. This lab makes architecture executable — the constraints and traceability AI-generated implementation must conform to.
A working lab
A working lab for engineering leaders and their teams — you draw the boundary between what AI generates and what humans decide, then verify it against real code and real constraints.
- Make architecture executable, not narrative
- Decide the constraints AI cannot bypass
- Design traceability from intent to implementation
- Set how conformance is checked
An explicit decision boundary
You leave with an architecture control model: the constraints and traceability AI must conform to.
Every ADAAS session ends the same way: a decision, the rationale behind it, and an artifact your organisation can act on and defend.
Who should be in the room
Enterprise architects, principal engineers and CTOs.
More in AI Engineering Programs
Decide what AI builds — and what your engineers still own.
Talk to us about running this with your engineering organisation.