Designing systems that survive change
Architecture is the work that remains when the tools change: designing systems so that change does not break them. Agile architecture treats structure as something that must keep evolving rather than be fixed up front; embedded systems architecture brings the same thinking to hardware-constrained designs; and specification-driven development gives you a way to pin down intent precisely enough that it survives across sessions, teams and rewrites.
For architects working at organisational scale, the SAFe architecture practices cover enabling enterprise agility without surrendering technical coherence – the constant negotiation between letting teams move and keeping the system whole: where the boundaries go, which contracts are load-bearing, what the legacy will and will not tolerate.
AI changes some of the inputs. Models produce plausible components fast and stay blind to whether they belong in your system, which makes that judgement more load-bearing, not less. The track adds the depth to review what your teams generate (Claude Code, Cursor, Copilot, Junie) and AI software architecture and legacy-integration courses for designing systems ready to absorb AI – without pretending architecture is now a prompting exercise.
For the broader build context your teams work in, see the AI-Assisted Software Development path; where the systems run on hardware, the Embedded AI school carries the variants that take real-time and physical constraints seriously.