Article: Agentic Fitness Functions: Extending Evolutionary Architecture Beyond Deterministic Rules
Engineering teams are deploying AI agents to police their own architecture—not as pilots, but as continuous governance.
Why it matters
Agentic fitness functions represent a practical application of AI agents to software architecture governance, extending traditional deterministic rules with judgment-based evaluation. This is an architectural pattern that practitioners building complex systems will encounter and need to understand.
The key facts
5 to knowAgentic fitness functions combine AI agents with versioned rubrics for architecture evaluation
Addresses judgment-heavy concerns: boundary fidelity, semantic contract drift, stale ADR assumptions
Evolutionary architecture governance via continuous, calibrated feedback loops
Published in InfoQ, targeting architecture and engineering practitioners
Authors: Hemant Kumar Mahato, Łukasz Sieczkowski, Vijayasenthilkumar Kuppusamy
Go to the source
InfoQ AI/MLinfoq.com
Publisher excerpt: Deterministic rules safeguard hard metrics, but what about architectural intent? Discover how agentic fitness functions combine AI agents and versioned rubrics to evaluate complex, judgment-heavy concerns—such as boundary fidelity, semantic contract drift, and stale ADR assumptions. Elevate…