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I Stopped Reading Code. My Code Reviews Got Better.
How 13 AI agents reviewing in parallel caught a critical bug I would have otherwise missed
Jan 23, 2026 · 10 min readUpdated Feb 19, 2026
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The bug report was deceptively simple: A user noticed that their email signature formatting was off in Cora, our AI-powered email assistant. I asked Claude Code to investigate and fix it. By morning, the fix had touched 27 files, and more than 1,000 lines of code had changed. I didn’t write any of them.
A year ago, I would have spent my afternoon reading that code. Line by line, file by file, squinting at the migration that moved email_signature from one database table to another, Ctrl+F-ing for every instance of our feature flags.
This time, I spent 15 minutes making decisions, and the code shipped without a single bug.
Before AI, code review meant reading every line a teammate wrote. You checked for typos, logic errors, and style inconsistencies, the way an editor reviews a manuscript. Now my code reviews no longer involve reading code. And I’ve gotten better at catching problems because of it.
This is code review done the compound engineering way: Agents review in parallel, findings become decisions, and every correction teaches the system what to catch next time. The signature fix that touched 27 files? Thirteen specialized AI reviewers examined it simultaneously while I made dinner.
I’ll show you how I set it up, how it caught a critical bug I would have missed, and how you can start—even without custom tooling.
The death of manual code review
Reading code, even briefly, gave me a sense of the shape of things. I could feel when the codebase was getting too complicated. By letting go of manual review, I worried that I’d lose that clarity, and the architecture would wander off without me.
Move fast, don’t break things
Most AI coding tools don’t know which line of code will actually break your system. Try Augment Code, which understands your entire codebase, including the repos, languages, and dependencies that actually runs your business, and use their playbook to learn more about their framework, checklists, and assessments. Ship 30% faster with 40% shorter merge times.
But I realized, too, that manual code reviews were no longer sustainable. When a developer writes 200 lines, their manager might spend 20 to 40 minutes reading it. The ratio of time spent writing code to reviewing it holds at 5:1 or 10:1—I can sit down with a cup of coffee, and the coffee will still be warm by the time I finish. AI has broken that ratio. The time it takes to generate code has collapsed, but the time it takes for a human to review code hasn’t. Something had to give...
Become a paid subscriber to Every to unlock this piece and learn about:
- Why Kieran Klaassen stopped reading his own code, and started catching more bugs because of it
- The 13-agent review system that spotted a critical error hiding in line 31 of a 1,000-line change
- Three questions that surface problems in two minutes that a 30-minute manual review would miss
Thanks to our Sponsor: Augment Code
Move fast, don’t break things
Most AI coding tools don’t know which line of code will actually break your system. Try Augment Code, which understands your entire codebase, including the repos, languages, and dependencies that actually runs your business, and use their playbook to learn more about their framework, checklists, and assessments. Ship 30% faster with 40% shorter merge times.















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