# AI-assisted coding can outpace code review, increasing the need for smaller PRs and clearer architecture context

DevFeed: [AI-assisted coding can outpace code review, increasing the need for smaller PRs and clearer architecture context](<https://devfeed.tech/articles/the-ai-code-review-bottleneck-when-writing-code-is-5x-faster-but-reviewing-is-2x-slower-39581.md>)

Original publisher: [Read original article](<https://ankit-rana.com/logs/29-ai-code-review-bottleneck/>)

Author: hello@ankit-rana.com

Published: 2026-05-17T00:00:00Z

Content type: article

Language: en

Sources: [Ankit Rana | Mechanical Sympathy](<https://devfeed.tech/sources/ankit-rana-mechanical-sympathy.md>)

Topics: [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [Code review](<https://devfeed.tech/topics/code-review.md>), [Pull Request](<https://devfeed.tech/topics/pull-request.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [Network](<https://devfeed.tech/topics/network.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [Database](<https://devfeed.tech/topics/database.md>), [Concurrency](<https://devfeed.tech/topics/concurrency.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [branch](<https://devfeed.tech/tags/branch.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [code-review](<https://devfeed.tech/tags/code-review.md>), [cost](<https://devfeed.tech/tags/cost.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [incident](<https://devfeed.tech/tags/incident.md>), [latency](<https://devfeed.tech/tags/latency.md>), [network](<https://devfeed.tech/tags/network.md>), [production](<https://devfeed.tech/tags/production.md>), [productivity](<https://devfeed.tech/tags/productivity.md>), [review](<https://devfeed.tech/tags/review.md>), [system-design](<https://devfeed.tech/tags/system-design.md>), [writing-code](<https://devfeed.tech/tags/writing-code.md>)

## AI overview

AI-assisted coding can make implementation much faster than review. The article explains that reviewers must reconstruct context, trace data flow, and assess hardware, network, latency, connection-pool, and architecture implications. It recommends keeping AI-written PRs small, documenting operational costs, and showing network boundaries early.

## Source excerpt

AI made writing code a local, fast operation while review stayed cold and global: the reviewer must reload architecture, trace data flow, and mentally simulate hardware and network cost. A 400-line PR can take twice as long to review as it took to generate. Keep AI-written PRs under 100 lines, state endpoint count and expected latency in the description, and show the network boundary up front.