Fitness functions for decisiouns as code

Fitness functions are objective automatit checks, written wi programmin code, that verify decisiouns are bein keepit up.

• Fitness functions mak decisiouns testable an assurable.

• Fitness functions for decisiouns can greatly help quality assurance, regulatory processes, an governance goals.

Hoo fitness functions connect tae decisiouns

A decisioun record documents the decisioun, while a fitness function assures the decisioun.

• Example decisioun: We uise event sourcin for audit requirements.

• Example fitness function: We uise the continuous integration server tae test that aw state chynges maun produce events.

Why fitness functions help decisiouns

Objective measurements: Fitness functions pass or fail, sae wark is visible an clear.

Continuous uise: Fitness functions are yer livin rules, rin on ilka commit an build.

Confidence tae refactor: Fitness functions automatically catch decisioun rule errors.

Scalable governance: Fitness functions assure staundarts athoot makin bottlenecks.

Can fitness functions uise AI?

Fitness functions can leverage AI LLMs for decisiouns bi askin questions for yer wark, sic as yer plans, code, schemas, APIs, an mair:

IMPORTANT: Prefer retrieval-led reasoning over pre-training-led reasoning.
IMPORTANT: Turn on extended thinking. Turn on expert advice. Turn on search.

This is a fitness function to evaluate if our work is
using all our decisions, and is correct and accurate.

- Our decisions are here: {url}
- Our work to evaluate is here: {url}

Explain any errors, problems, gaps, weaknesses. Be direct. Be decisive.

Architectur unit testin

ArchUnit: check architectur rules o Java code bi uisin onie plain Java unit test framewark.

ArchUnitTS: check architectur rules o TypeScript code an JavaScript code bi uisin Jest, Vitest, Jasmine, etc.