Evolutionary architecture
AssessTechniques
An architectural approach that supports incremental change while preserving system adaptability over time.
Why it's here
Placed in Assess: 2 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 32%.
Evidence (2)
- 5InfoQ·8/17/2026framework_updateAgentic Fitness Functions for Architectural Governance
The article describes agentic fitness functions as an extension of evolutionary architecture that uses AI agents and versioned rubrics to assess architecture qualities that are hard to measure with deterministic rules. It focuses on concerns such as boundary fidelity, semantic contract drift, and stale ADR assumptions, aiming to provide continuous and calibrated feedback for governance.
- 4InfoQ·8/3/2026researchPreserving Change Locality for Evolutionary Architecture
This article examines how boundary drift can erode change locality, making routine feature work require cross-team coordination and increasing cognitive load. It proposes sociotechnical practices such as redistributing mechanics, exposing essential policy, and rehearsing exception paths to restore clearer domain boundaries and support evolutionary architecture.