26 Repos in 29 Days: Insights from an AI Pipeline
Exploring structural failures and lessons learned from an AI pipeline that produced 26 repositories and 1,549 commits in 29 days.
A developer created 26 repositories and made 1,549 commits in 29 days using Claude Code. The key insights lie not just in the numbers but in the structural failures encountered, which were different from those typically discussed in AI coding debates. Each issue revealed itself only when examining the system as a whole.