# kaal:claim:4755632-023

**Claim.** Code reviews in legacy systems can last weeks and months, and these delays can force complete rewriting of contracts because the underlying protocol may have upgraded core libraries during the review period.

**Type.** failure  **Support.** argued

**Holds when.**

- can be exacerbated by market conditions in the digital asset market

**Source quote.**

> These significant delays can impact development and may require complete rewriting of contracts because the underlying protocol may have upgraded core libraries during the code review.

**From.** Wulf A. Kaal, *AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning* (2024), Timing, page 36

**Cite as.** Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632

**Verify.** sha256 of source PDF `972ccebf0c06ac1767a9e443bb95942b7670e806a63c25ee817c368a64c8eca8` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202024%20-%20AI%20Learning%20-%20Decentralized%20Governance%20to%20Optimize%20Human%20Output%20Datasets%20for%20AI%20Learning.pdf

**Failure mode.** Review Latency Rework  (family: scalability-and-throughput-limit)

**Topics.** open-source-and-code

**Keywords.** code-review, review-latency, protocol-upgrades, rework-cost

**Related claims.**

- extends: https://wulfkaal.github.io/claims/3995709-006

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.