🤖 AI Dev Tools

AI Codebases' Dirty Secret: Why Six-Month Projects Now Crawl at Sprint Pace

Everyone thought AI would slash dev cycles forever. Instead, codebases are ballooning into verification nightmares, turning two-day features into two-week slogs.

Line graph of rising time per feature in AI codebases over 10 months, with coupling curve

⚡ Key Takeaways

  • AI tools create sharp delivery slowdowns after 3-6 months due to structural coupling and verification debt. 𝕏
  • Measure crisis with git commands: files per commit, large files, PR times. 𝕏
  • Fix via Atomic Slice Architecture (ASA): enforce domain boundaries for flat velocity. 𝕏
Published by

theAIcatchup

Ship faster. Build smarter.

Worth sharing?

Get the best Developer Tools stories of the week in your inbox — no noise, no spam.

Originally reported by dev.to

Stay in the loop

The week's most important stories from theAIcatchup, delivered once a week.