Are AI-generated PRs too large to review normally?

AI-generated pull requests are often too large to read line by line, because an agent can produce thousands of lines in the time it takes to read a few hundred. Reading them the old way either takes a day or does not happen. The way through is to understand the change by its features and its reach, and to read code only where it counts. DiffGuardian is built around that.

#Why the old way breaks

• Volume. An agent writes faster than anyone reads, and several can run at once.
• Shape. One pull request often holds several loosely related changes, so file order is a poor way to read it.
• Fluency. The code reads well, which makes a skim feel like understanding.

#What works instead

1. Work out how many separate changes there are before reading any of them.
2. Follow one change end to end, not file by file.
3. Check what each change reaches, not only what it edits.
4. Spend line-by-line attention only on code that touches permissions, money, data or a public interface.

#How DiffGuardian does it

• It splits the pull request into the features it ships, each explained in plain English.
• Read it: Trace It (Pro) follows a feature across every file it touches.
• Hear it: Talk to your pull request (Pro) gives the walkthrough out loud while the code it explains is highlighted.
• See it: the blast radius graph shows what a change reaches, from the diff alone.

DiffGuardian is a desktop app for macOS, Windows and Linux, and works with pull requests on GitHub, GitLab and Bitbucket.

#Limits

• DiffGuardian does not shrink the pull request. It shortens the path to understanding it.
• It never merges anything, and approval stays with a person.
• Trace It and voice are Pro features. The blast radius graph works on every plan.