How to review AI-written code without reading every line
Once Claude Code or Codex starts doing real chunks of work, there comes a point where reading everything stops being realistic. One request changes a dozen files, the tests pass, and reading the diff top to bottom would take an hour. Skip it, and nobody knows what actually went in. There's a lot of talk lately about merging AI code without reading it. Look closely and the serious versions of that…
When AI-generated code starts handling larger tasks, reviewing each line becomes impractical. While there's debate about merging AI code without reading it, the serious arguments emphasize maintaining a record to make informed decisions without reading everything. This record should include what the AI changed, the model used, the file edited, and what specific changes were made.
In practice, tools like osFoundry maintain a local database of every moment an AI writes a file, noting the model, reason, file, and the exact changes. For instance, a request to make retries start sooner resulted in a diff showing a change from 30,000 to 3,000 milliseconds. While the diff itself was brief, the accompanying comment revealed that large photo uploads took over 20 seconds, highlighting the importance of understanding the context behind the AI's actions.
One effective method is to review the plan before the AI begins writing. This allows for a quicker review compared to examining the code afterward. The plan should specify which files will be changed and any critical aspects that require attention. By agreeing on a plan upfront and ensuring it cannot be altered until approved, reviewers can focus on verifying that the AI hasn't touched unintended areas.
Being able to roll back any changes one step at a time is also crucial. This approach shifts the review focus from "let no mistake in" to "back it out if something's off." Instead of reading everything beforehand, you can execute the AI's changes and then review only the suspicious parts. The essential elements to retain for this process are a clear diff and a detailed AI action reason, a pre-agreed plan (especially outlining what the AI won't alter), and the ability to roll back changes one at a time.
With these three components—diff, AI action rationale, plan agreement, and rollback capability—you can determine what was added, whether it matched expectations, and if it can be undone, all without reading every line of code.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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