Agentic fitness functions
AssessTechniques
An approach that uses AI agents to evaluate architecture and design quality beyond fixed rules.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by framework updates, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 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.