4 Key Trends Towards Better Software Architecture
summary
Four concrete claims: software architecture requires alignment across nine intersections (implementation, infrastructure, data, teams, enterprise, integration, business, etc.) and can be expressed as executable Architecture-as-Code using an ADL that generates ArcUnit tests (Java/C#/Python) via LLMs; operational capabilities become fitness functions (example: verify order-submit scales to 5,000 concurrent users at ≤600ms); data checks use counts and hashes to detect loss or broken referential integrity (D1 = D2 + queue); team topology metrics measure merge-conflict rates; AI-driven systems combine an observability mesh, agentic AI, and reactive patterns to self-configure and self-heal, with known trade-offs in testing, cost, and complexity.
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chapters (4)
- 0:00Architectural intersections
- 13:42Architecture as code
- 33:03Distributed architectures
- 38:09AI-driven architecture
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