The Fate of Engineers Who Left Everything to Claude Code: Truly Hellish 1-2 Months Later | Yuki

What happened

The author, a freelance engineer with more than five years of work, says many teams now give nearly all coding to AI tools such as Claude Code and Cursor. At first the work feels fast and easy. After one to two months, the code starts to break down. Different files use different styles, similar functions pile up, and each new feature breaks old ones.

Why the early speed fools people

AI tools are very good at answering a single request, like 'make a search feature.' They are not good at judging the whole project. They cannot see why a design was chosen, so they may say 'this fits the rest of the code' even when it does not. Teams that trust that answer and merge the code get problems later.

Key points from the article

• The warning time is about 1 to 2 months after starting to use AI for everything.
• Early signs include the same API returning different response shapes in different files.
• The author says recovery can take several weeks to several months.
• The author says about 9 out of 10 teams that said 'AI made us super fast' end up in this trouble, based on his own impression.

Why it matters

The article says the real skill is not writing code fast. The key skill is deciding how the project is built, such as folder layout, API design, and database tables. Those decisions should stay with people. If they are handed to AI, the project can become hard to fix and costly to rebuild.

What to try

• Spend about 5 minutes writing down the plan before asking AI to code.
• Read the code AI writes, especially the structure and any code that handles login, permissions, money, or personal data.
• Build one good pattern by hand, then ask AI to copy that pattern for new parts.