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Explore AI Wrote 3,000 Lines of Code. Nobody Read Them. with 875 views, 6 likes, and 1 comments. Experience the impact of this video content that has captured audience attention.

Sammy's group project is done. 3,000 lines, one prompt, she went to lunch. Jordan approved it in 4 seconds. Then the TA asked why there are three different login systems. Meanwhile her uncle Gitsy, a tech lead, has 47 pull requests waiting for him. On a Sunday. AI coding agents write way more code. So why isn't anyone shipping more software? A new Harvard paper looked at 718 companies and about 726,000 people, and found the bottleneck: humans still have to read it. In this episode: • Why more code isn't more software • Why code review is the new bottleneck • What a reviewer actually checks (hint: not "does it run") • Why small pull requests get merged and giant ones rot • What happens when you ask AI to review AI's code ⏱️ Chapters 0:00 3,000 lines in one prompt 0:40 LGTM in 4 seconds 1:05 Changes requested 1:35 Meanwhile, at work 2:00 The Harvard study 2:25 Why reviewing takes so long 2:45 The pizza theory 3:10 Let's review one function 3:40 Small vs giant pull requests 4:00 AI reviews the AI 4:30 The 40-line fix 4:55 New plan 📄 Sources • Fiona Chen & James Stratton, "Artificial Intelligence in the Firm: Bottlenecks in Software Production", Harvard working paper, August 2026 (not yet peer reviewed) • Ars Technica, "AI coding agents generate more code, but not more software", 9 Oct 2026. The group project, Gitsy's team and the AI review in this video are fiction. AI review tools do catch real bugs. Just not this one. Expectation vs. Reality. Technology is funny. Reality is worse. Let's find out why. #AI #coding #programming #codereview #softwareengineering

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