Agentic Fitness Functions
An architecture-governance check whose evaluator is a calibrated AI agent applying a versioned rubric to a scoped evidence pack and returning a structured verdict (score, confidence, rationale) — extending evolutionary architecture's deterministic fitness functions into judgment-heavy, evidence-bound concerns like boundary fidelity and ADR drift, ideally converging back toward determinism as patterns stabilize.
Also known as: agentic fitness function, agentic fitness functions, architecture judge, agentic judge, structured verdict, evidence contract, calibrated AI judge
Part of: Evolutionary Architecture & Fitness Functions
How authors use it
Oldest first (extraction date when no publication date is known).
| Author | Their term | Their meaning |
|---|---|---|
| Article: Agentic Fitness Functions: Extending Evolutionary Architecture Beyond Deterministic Rules Hemant Kumar Mahato, Łukasz Sieczkowski, Vijayasenthilkumar Kuppusamy · 2026-08-17 | agentic fitness function | An architecture-governance check whose evaluator is a calibrated AI agent, whose criteria are an analytic rubric, and whose output is a structured verdict with evidence, confidence, and rationale — subordinate to and never a replacement for deterministic fitness functions. |
| Article: Agentic Fitness Functions: Extending Evolutionary Architecture Beyond Deterministic Rules Hemant Kumar Mahato, Łukasz Sieczkowski, Vijayasenthilkumar Kuppusamy · 2026-08-17 | evidence contract | The deliberately limited, named set of artifacts (PR diff, changed API spec, relevant ADRs, ownership metadata, service catalog entry, deterministic-check output, trace window) the agentic judge is allowed to inspect for a given verdict. |
| Article: Agentic Fitness Functions: Extending Evolutionary Architecture Beyond Deterministic Rules Hemant Kumar Mahato, Łukasz Sieczkowski, Vijayasenthilkumar Kuppusamy · 2026-08-17 | structured verdict | A machine-readable judgment output (score, confidence, violated_criteria, evidence references, recommended_action) as opposed to a conversational essay — required so the result can be stored, trended, and audited like any other governance signal. |
Documents (1)
- Article: Agentic Fitness Functions: Extending Evolutionary Architecture Beyond Deterministic Rules Hemant Kumar Mahato, Łukasz Sieczkowski, Vijayasenthilkumar Kuppusamy · 2026-08-17 source ↗ Reader 🖥️
Deterministic fitness functions should remain the primary architectural governance mechanism, but calibrated, evidence-scoped, escalation-capable AI 'agentic fitness functions' should be added as an advisory judgment layer for architectural concerns that are evidence-bound but not reducible to a rule — boundary fidelity, semantic contract drift, stale ADR assumptions — so that architectural judgment itself becomes observable, auditable, and, where patterns repeat, convertible back into deterministic guardrails.
Propositions touching this concept (3)
By publication month, oldest first (extraction month when no publication date is known).
2026-08
- explicitAgentic fitness functions add value specifically where architectural risk is evidence-bound but judgment-heavy — boundary fidelity, semantic contract drift, workflow coupling, stale ADR assumptions — not where a rule or threshold already suffices.
- explicitdevelopedAn agentic fitness function should begin as an advisory signal and become more influential only after calibration against prior human decisions demonstrates acceptable precision, recall, and variance.
- explicitA production-ready agentic fitness function separates deterministic gates from agentic advisory signals, scopes evidence to the change rather than the whole codebase, applies a versioned rubric, and returns a structured (not conversational) verdict.