If AI makes you 10x faster at coding, why is your team not shipping 10x faster? Amdahl's law has the answer... The law says the overall speedup is capped by the part you did not speed up. With `p` as the fraction of the work you accelerate and `s` as the speedup on that fraction, speedup is computed as attached. Now plug in some numbers. Say writing code is 30% of the time from idea to production, and AI makes that part 10x faster. The overall speedup is 1 / (0.7 + 0.03), which is about 1.37x. Even if coding is half of the cycle, you get about 1.8x. These numbers are illustrative, so use your own, but the shape stays the same. The rest of the cycle is still there: - Figuring out what to build - Aligning product, design, and other teams. - Code reviews, which are now more than ever - CI and CD takes the same wall time as before. - Debugging and incidents, where code that nobody on the team wrote line by line takes longer to understand. In fact, it can get worse than Amdahl predicts. Faster code generation increases the load on every stage after it, so the review queue grows and the bottleneck shifts. A team that writes 10x more code with the same review capacity is just building a bigger queue, unfortunately So if you want the team to actually ship faster, measure the whole path from idea to production and find where work waits. Then apply AI there too: review, test generation, flaky test triage, deploy safety checks. Otherwise, you have optimized the part of the system that was never the constraint. Speeding up the typing was always the easy part :)

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just ran GPT 6.1 Sol on our repo, first engineer to guess what this pr does gets $1,000