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AI Removed the Coding Bottleneck. Now It’s the PM.

Ramp's coding agent writes 75% of its pull requests, and AI fixes 60% of UX issues within a day. CPO Geoff Charles on finding the next bottleneck after coding.

· 5 min read

AI Removed the Coding Bottleneck. Now It’s the PM.

Geoff Charles, chief product officer of Ramp, talk at the Lenny and Friends Summit · Lenny's Podcast

Geoff Charles is the chief product officer of Ramp, the corporate card and finance software company known for shipping fast. His team has built a set of internal AI agents that cover each stage of product development, from finding customer pain to testing and release. He gave this talk at the Lenny and Friends Summit.

Summary

Charles argues that speed in product development comes from removing bottlenecks in the system, not from working harder, and that AI doesn't remove the bottleneck so much as move it. With coding now easy, the constraint has shifted to product managers: finding problems, defining them, reviewing, testing and coordinating. Ramp built an agent for each stage, and its coding agent now writes 75% of pull requests while autonomous loops fix 60% of UX issues within 24 hours. He sees PMs moving into three roles: building the internal factory, holding the bar for taste, or running whole businesses as GMs. These signals are from a talk Geoff Charles gave at the Lenny and Friends Summit, published on Lenny's Podcast.

  1. The Driver Is 15%. Charles once crashed a $500 car in a 24-hour amateur race, but in professional racing, he says, the driver accounts for only about 15% of the result. The rest is the car and the team. F1 pit stops fell from 67 seconds in the 1950s to 1.8 seconds today. Nobody asked mechanics to work 37 times harder. Teams found each bottleneck and removed it with specialized roles, better technology and practice. About 90% of an F1 car's 16,000 parts change every year, and he asks product teams to imagine 90% of their code changing yearly. ▶ 0:47

    Quote: “The best drivers in the world can only perform up to the level of the system.” (Geoff Charles, ▶ 1:27)

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