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Anthropic CPO, Mike Krieger: "over 70% of Anthropic pull requests are now generated by AI" but we're still figuring out what that means for code review and long-term architecture.

97,999 görüntüleme • 1 yıl önce •via X (Twitter)

11 Yorum

Juniper profil fotoğrafı
Juniper1 yıl önce

They don’t ship a lot

MightyBot profil fotoğrafı
MightyBot1 yıl önce

🧠 Unified Search. Smarter Meetings. Effortless CRM. MightyBot is your AI agent platform for seamless workflows—record meetings, automate CRM updates, and find answers across apps in seconds. 🌟 Focus on what matters. We'll handle the grind.

Adrian Ziegler profil fotoğrafı
Adrian Ziegler1 yıl önce

70% AI-generated today, 100% AI-refactored tomorrow.

Tech Brief Ai profil fotoğrafı
Tech Brief Ai1 yıl önce

Over 70% of pull requests at Anthropic are now AI-generated—wild stat from Mike Krieger. We're in uncharted territory. Speed is up, but the big question now: how do we ensure long-term code quality and architecture hold up? AI is changing how we build—but not why we review. (We cover shifts like this daily—check the newsletter in bio.)

Gabriel Cezar profil fotoğrafı
Gabriel Cezar1 yıl önce

PR with what exactly? A div? A CSS color? An internal survey?

Necati Demir, Phd profil fotoğrafı
Necati Demir, Phd1 yıl önce

And, the rest 30% of the PRs produce 70% of the total value ;)

John P Alioto profil fotoğrafı
John P Alioto1 yıl önce

explains a lot actually

David Rosa profil fotoğrafı
David Rosa1 yıl önce

The rest 30% is fixing that 70%

Product Guru’s profil fotoğrafı
Product Guru’s1 yıl önce

That’s why they don’t update..

Drawk Kwast profil fotoğrafı
Drawk Kwast1 yıl önce

Does anyone reading this (including the person who made this post) understand the difference between a “pull” and a “push” request???

Andrew profil fotoğrafı
Andrew1 yıl önce

interesting...

Benzer Videolar

Mike Krieger (Mike Krieger) is the CPO of Anthropic ($10B+ raised) and the co-founder of Instagram, which he sold to Meta for $1B. Here's the full video of my recent conversation with him. Mike has one of the AI industry's most interesting jobs. He shared with me how he and his team craft product strategy for the company that's leading the charge on AI in the enterprise. Specifically, we discussed how frontier model innovations both drive product and vice versa (how product ideas inform AI research). We also talk about the long term defensibility of models (inspired by the emergence of DeepSeek), and how Mike believes that not only will individual models have specific strengths over others (such as in areas like coding, science, etc), but that a model's "vibes" will also be a major factor for driving customers' choice. Mike also shared his view on how AI will reinvent media and the business model of advertising on the internet, drawn heavily from his work building one of the most successful ad products ever built (Instagram) and his work on Artifact, an AI news product he also co-founded. Lastly, Mike dove deep into what it's like building for the Enterprise for the first time in his career, and how lessons from Instagram and Meta inform not only product development, but how Anthropic thinks about scaling its team in this period of hypergrowth. Chapters: 00:00 Introduction 00:54 Mike Krieger's Journey to Anthropic 03:17 Building Product Strategy at Anthropic 07:43 Rapid Iteration and Safety 10:58 Differentiating AI Models and User Experience 17:57 Impact of AI on Consumer Products and Business Models 24:39 Enterprise vs. Consumer Product Strategy 29:19 AI in Personal Life Management 30:15 Open Source and Claude Integrations 33:09 AI-Assisted Product Development 37:13 Scaling Teams and Processes at Anthropic 42:17 Reflections on AI and Future Prospects

Michael Mignano

85,991 görüntüleme • 1 yıl önce

Anthropic CEO Dario Amodei just revealed the hidden bottleneck that will kill most AI companies in the next 18 months (Save this). The insight comes from a principle in computer science called Amdahl's Law. Dario's argument is simple when something starts working really well inside an organization, you have to immediately ask what isn't working well around it. Amdahl's Law states that the maximum speedup of any system is capped by the fraction you haven't improved and that applies to companies just as brutally as it applies to processors. If you can suddenly write three or four times as many pull requests as before, you don't get three or four times the output but you rather get a pile of code no one can review, verify, or trust. The data makes this impossible to ignore. Teams with heavy AI coding adoption are merging 98% more pull requests but PR review time has ballooned 91%, deployment velocity is effectively flat and 96% of developers don't fully trust AI-generated code reaching production. AI generated code produces 1.7x more issues per pull request than human written code, 0.83 issues per PR versus 6.45. Veracode's 2026 State of Software Security report found that 82% of organizations now carry security debt, up 11% year over year, with critical security debt surging 36% in a single year driven directly by AI-generated code reaching production faster than security teams can handle. What Dario is describing is a systems problem, not a software problem and coding is roughly 20% of the software delivery cycle. Even at infinite coding speed, you're still bottlenecked by review, security, verification, testing, and deployment which make up the other 80%. The enterprises that win are the ones that identify which part of their system is the new constraint after AI accelerates the old one and fix that next. This is why Anthropic's Claude Code focuses on the full development loop, not just generation, and why the verification and security layer of the AI stack is where the next wave of enterprise value gets created. This is also why Anthropic as a company is positioned differently than most people realize. Anthropic's 2026 Agentic Coding Trends Report found that organizations using full-loop agentic coding workflows where AI handles not just generation but testing, review, and deployment validation reduced their software defect rates by 43% while increasing velocity by 2.8x. Claude Code now authors 4% of all GitHub commits and is on track to hit 20%+ by year-end, with the full-loop use case growing 3x faster than pure code generation. Dario has been building Anthropic around the exact insight he's describing publicly ,the constraint isn't writing code but rather everything that has to happen after.

Milk Road AI

52,190 görüntüleme • 3 ay önce