# agentic code review

Published articles for agentic code review.

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## Agentic Code Review

DevFeed: [Agentic Code Review](<https://devfeed.tech/articles/agentic-code-review-18045.md>)

Original publisher: [Read original article](<https://addyo.substack.com/p/agentic-code-review>)

Author: Addy Osmani

Published: 2026-06-16T14:31:22Z

Content type: article

Language: en

Sources: [Elevate](<https://devfeed.tech/sources/elevate.md>)

Topics: [Code review](<https://devfeed.tech/topics/code-review.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [Pull Request](<https://devfeed.tech/topics/pull-request.md>), [Claude Code](<https://devfeed.tech/topics/claude-code.md>), [codex](<https://devfeed.tech/topics/codex.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-code-review](<https://devfeed.tech/tags/agentic-code-review.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [code-review](<https://devfeed.tech/tags/code-review.md>), [codex](<https://devfeed.tech/tags/codex.md>), [coding-agents](<https://devfeed.tech/tags/coding-agents.md>)

### AI overview

This article argues that coding agents have shifted the main engineering constraint from writing code to deciding whether generated changes are trustworthy. It describes using Claude Code and Codex to triage incoming pull requests while emphasizing that review needs vary by developer and team context.

### Source excerpt

Why review is the most leveraged skill in software right now.

## Agentic Code Review

DevFeed: [Agentic Code Review](<https://devfeed.tech/articles/agentic-code-review-28494.md>)

Original publisher: [Read original article](<https://addyosmani.com/blog/agentic-code-review/>)

Author: Addy Osmani

Published: 2026-06-15T00:00:00Z

Content type: article

Language: en

Sources: [Addy Osmani](<https://devfeed.tech/sources/addy-osmani.md>)

Topics: [agentic code review](<https://devfeed.tech/topics/agentic-code-review.md>), [Code review](<https://devfeed.tech/topics/code-review.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [Claude Code](<https://devfeed.tech/topics/claude-code.md>), [codex](<https://devfeed.tech/topics/codex.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-code-review](<https://devfeed.tech/tags/agentic-code-review.md>), [ai](<https://devfeed.tech/tags/ai.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [code-review](<https://devfeed.tech/tags/code-review.md>), [codex](<https://devfeed.tech/tags/codex.md>), [queue](<https://devfeed.tech/tags/queue.md>)

### AI overview

This article argues that coding agents have shifted the main engineering constraint from writing code to deciding whether generated changes are trustworthy. It presents code review as increasingly important and describes using Claude Code and Codex to triage batches of incoming pull requests.

### Source excerpt

Coding agents are extraordinarily good now, and getting better fast. The interesting consequence is that the hard part of engineering moved from writing code to deciding whether to trust it, which makes review the most leveraged skill in software right now. How you approach it depends enormously on who you are: a solo developer with no users and a team maintaining a ten-year-old application are not solving the same problem.

## Agentic Code Review: Pattern Matching for AI

DevFeed: [Agentic Code Review: Pattern Matching for AI](<https://devfeed.tech/articles/agentic-code-review-pattern-matching-for-ai-18936.md>)

Original publisher: [Read original article](<https://www.robinwieruch.de/ai-agentic-code-review/>)

Author: Robin Wieruch

Published: 2026-03-18T06:50:46Z

Content type: tutorial

Language: en

Sources: [Robin Wieruch](<https://devfeed.tech/sources/robin-wieruch.md>)

Topics: [agentic-coding](<https://devfeed.tech/topics/agentic-coding.md>), [Code review](<https://devfeed.tech/topics/code-review.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [engineering-culture](<https://devfeed.tech/topics/engineering-culture.md>), [Code](<https://devfeed.tech/topics/code.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-code-review](<https://devfeed.tech/tags/agentic-code-review.md>), [agentic-coding](<https://devfeed.tech/tags/agentic-coding.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [ai-code-review](<https://devfeed.tech/tags/ai-code-review.md>), [ai-engineer](<https://devfeed.tech/tags/ai-engineer.md>), [code-review](<https://devfeed.tech/tags/code-review.md>), [coding-patterns](<https://devfeed.tech/tags/coding-patterns.md>), [github](<https://devfeed.tech/tags/github.md>), [review](<https://devfeed.tech/tags/review.md>)

### AI overview

This article explains how teams can scale code review for AI-generated code by documenting project patterns and anti-patterns in structured files. AI agents can use the resulting reference document to review code against team conventions on GitHub and locally before pull requests are created. The approach depends on having consistent architecture and established conventions first.

### Source excerpt

How to document project patterns and anti-patterns so AI agents can review code against your team's conventions automatically ...