pith:CYG4W763
Rethinking Code Review in the Age of AI: A Vision for Agentic Code Review
AI agents combined with human quality gates can create an end-to-end code review workflow across five stages.
arxiv:2605.17548 v1 · 2026-05-17 · cs.SE · cs.AI
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\pithnumber{CYG4W763RFR5TZZVHGA6UGOA6D}
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Claims
We present a vision for an AI-powered code review workflow combining specialized agents with human-controlled quality gates. Our framework spans five stages: PR Creation, PR Augmentation, Reviewer Selection, AI-Assisted Code Review, and PR Retrospective.
Current and near-future agentic AI systems can be made sufficiently reliable and unbiased for complex code review tasks across varied projects, with humans able to detect and correct remaining errors at the proposed quality gates.
The paper presents a vision for an agentic code review framework spanning PR Creation, Augmentation, Reviewer Selection, AI-Assisted Review, and Retrospective, with humans retained at quality gates.
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| First computed | 2026-05-20T00:04:45.228402Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CYG4W763RFR5TZZVHGA6UGOA6D \
| jq -c '.canonical_record' \
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# expect: 160dcb7fdb8963d9e7353981ea19c0f0fc4b07f59647cd3b11b48bc84bec34cf
Canonical record JSON
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