AI Coding Takes Away the Joy of Handcrafted Code

AI coding tools are quietly redefining what it means to be a programmer, forcing a reexamination of core principles like code review, maintainability, and the value of human understanding in software development. This reflection captures a sentiment many Western developers are beginning to feel as AI assistants become more capable, and it points to a future where the craft of writing code is less about the act of writing and more about orchestrating and verifying outcomes.

As AI coding tools become the default, a developer looks back on the pleasures of the pre-AI era: the adrenaline of chasing a production alert through logs and traces until one causal chain emerges, the satisfaction of restructuring messy systems into clean abstractions, and the grounded feeling of writing every line with full awareness of its purpose. Those experiences are now reduced to abstract numbers like +10000 in Codex's diff view.

The author argues that design principles like separation of concerns and keeping core code thin were built around human memory and cognitive limits. When AI can generate and modify tens of thousands of lines, human line-by-line review becomes impractical, raising the question of whether maintainability still requires human comprehensibility. The author admits this shift feels like losing part of their identity, yet acknowledges that the knowledge gained from manual work still helps them judge AI's output, and complexity hasn't vanished — it has just become an abstract requirement passed to AI.

The piece concludes with acceptance: the author would never return to the tedious, frustrating parts of hand-coding, but the joy that accompanied them seems to have faded too. New generations will likely find their own satisfactions, just as earlier programmers found meaning in punching paper tape.