Senior Engineer Logs 54 Hours of AI-Assisted Dev Work to Map the Productivity J-Curve

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A senior software engineer and tech lead publicly documented 19 AI-assisted development sessions totaling an estimated 54 hours of work, tracking time across implementation, specification, infrastructure, and debugging. The data revealed that only 20% of total effort went toward writing feature code, while 80% was consumed by infrastructure, specification, and debugging work. Infrastructure time as a share of total effort climbed steadily from 27% in early sessions to 71% in later ones before dropping sharply to 21% in the final assembly phase. This pattern — a prolonged productivity trough before an uptick — is what the author calls the 'Productivity J-Curve,' a concept attributed to frameworks developed by Dan Shapiro and AI strategist Nate B. Jones. The engineer frames the findings as a candid, real-time account of learning to work at higher levels of AI-assisted software development.

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