# Code review dao

`kaal:entity:code-review-dao`

**Status.** derived

This node is assembled mechanically from the 4 claims that carry the concept tag `code-review-dao`. It is a roster of what the corpus says under this term. It is **not** an adjudicated definition: no single statement here has been ruled canonical, and no first-appearance call has been made. Read the claims and judge for yourself.

## Every claim under this term

4 claims across 1 works, 2024 to 2024.

**2024**

- [4755632-028](https://wulfkaal.github.io/claims/4755632-028) [design/argued] -- 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.
  > 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
  Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632
- [4755632-029](https://wulfkaal.github.io/claims/4755632-029) [mechanism/asserted] -- 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.
  > the CRDAO governance and policing functions ensure less duplication of code reviews.
  Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632
- [4755632-033](https://wulfkaal.github.io/claims/4755632-033) [design/argued] -- 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.
  > The Code Review Platform creates a compendium of reviews and through it a common standard for code reviews
  Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632
- [4755632-042](https://wulfkaal.github.io/claims/4755632-042) [mechanism/argued] -- 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.
  > 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
  Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632

## Verify

Every claim above resolves to a record carrying a verbatim source quote, the sha256 of the source PDF, and a preformatted citation. Nothing here asks to be taken on trust.

    curl -s https://wulfkaal.github.io/entities/code-review-dao.md | sha256sum

**Canonical form.** This markdown file is the canonical hashed representation of this entity node. Its sha256 is the content hash.