{
 "@context": "https://schema.org",
 "@type": "DefinedTerm",
 "@id": "https://wulfkaal.github.io/entities/code-review-dao",
 "identifier": "kaal:entity:code-review-dao",
 "name": "Code review dao",
 "termCode": "code-review-dao",
 "inDefinedTermSet": {
  "@id": "https://wulfkaal.github.io/entities/index.json"
 },
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0000-0003-0757-275X"
 },
 "dateModified": "2026-07-29",
 "canonicalForm": "https://wulfkaal.github.io/entities/code-review-dao.md",
 "sha256": "5be2d14916f69de1cd8806428a65f22d73b01bce5daf4d9e6e10f49669b8dd33",
 "additionalProperty": [
  {
   "@type": "PropertyValue",
   "name": "status",
   "value": "derived"
  },
  {
   "@type": "PropertyValue",
   "name": "claim_count",
   "value": 4
  },
  {
   "@type": "PropertyValue",
   "name": "work_count",
   "value": 1
  },
  {
   "@type": "PropertyValue",
   "name": "year_span",
   "value": [
    "2024",
    "2024"
   ]
  },
  {
   "@type": "PropertyValue",
   "name": "non_current_claims",
   "value": 0
  }
 ],
 "subjectOf": [
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4755632-028",
   "identifier": "kaal:claim:4755632-028",
   "text": "The Code Review DAO should be built as a decentralized community-driven review process that uses a bidding process to drive prices down and provides open access to anyone who qualifies rather than only to members of the few incumbent code review firms.",
   "abstract": "The CRDAO provides a new code review platform, which facilitates a decentralized community-driven code review process that utilizes a bidding process on code reviews to drive prices down",
   "citation": "Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632",
   "datePublished": "2024",
   "claim_type": "design",
   "confidence": "argued",
   "is_failure_mode": false,
   "scope_conditions": [
    "applies to the Code Review Platform operated under CRDAO governance"
   ],
   "source_pdf_sha256": "972ccebf0c06ac1767a9e443bb95942b7670e806a63c25ee817c368a64c8eca8",
   "status": "current"
  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4755632-029",
   "identifier": "kaal:claim:4755632-029",
   "text": "DAO governance and policing functions reduce duplication of code reviews, so decentralized community policing substitutes for the redundant parallel work that centralized platforms use to assure quality.",
   "abstract": "the CRDAO governance and policing functions ensure less duplication of code reviews.",
   "citation": "Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632",
   "datePublished": "2024",
   "claim_type": "mechanism",
   "confidence": "asserted",
   "is_failure_mode": false,
   "scope_conditions": [
    "applies to reviews conducted under the CRDAO governance model"
   ],
   "source_pdf_sha256": "972ccebf0c06ac1767a9e443bb95942b7670e806a63c25ee817c368a64c8eca8",
   "status": "current"
  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4755632-033",
   "identifier": "kaal:claim:4755632-033",
   "text": "The Code Review Platform fills the void left by legacy reviews conducted without common standards, because a compendium of reviews generates a common standard that guides reviewers and the collective toward shared expectations on functionality and quality outcomes.",
   "abstract": "The Code Review Platform creates a compendium of reviews and through it a common standard for code reviews",
   "citation": "Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632",
   "datePublished": "2024",
   "claim_type": "design",
   "confidence": "argued",
   "is_failure_mode": false,
   "scope_conditions": [
    "applies where a collective reviews code under a common set of standards"
   ],
   "source_pdf_sha256": "972ccebf0c06ac1767a9e443bb95942b7670e806a63c25ee817c368a64c8eca8",
   "status": "current"
  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4755632-042",
   "identifier": "kaal:claim:4755632-042",
   "text": "Early low-cost feedback loops on code reviews enable risk-taking by development teams that wish to move quickly through governance and upgrade processes, which in turn accelerates growth and scaling of experimentation.",
   "abstract": "The feedback provided by the ALE for the developer community enables risk-taking for dev teams who wish to move quickly through their governance and upgrade process, which in turn enables accelerated growth",
   "citation": "Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632",
   "datePublished": "2024",
   "claim_type": "mechanism",
   "confidence": "argued",
   "is_failure_mode": false,
   "scope_conditions": [
    "applies to developer teams using the ALE feedback loop"
   ],
   "source_pdf_sha256": "972ccebf0c06ac1767a9e443bb95942b7670e806a63c25ee817c368a64c8eca8",
   "status": "current"
  }
 ],
 "description": "4 claims in the published works of Wulf A. Kaal carry the concept tag 'code-review-dao'. Derived node: a roster, not an adjudicated definition."
}