Last updated on September 19, 2025 by the editorial team
Original): Mayank Bohr
Originally published in the direction of artificial intelligence.
Productivity paradox for AI programmers: Why the statements about “10x capacity” are back
Everyone is chasing AI coding tools to immediately increase performance. But after 8 months of building production software with Cursor, Claude Code and Gemini Cli, what is actually happening: most programmers become slower before they reach faster.
In the article, he discusses the paradox before which there are programmers using AI coding tools, emphasizing that although many expect immediate productivity benefits, reality often includes the initial slowdown in productivity, because developers learn to integrate these tools with work flow. The author defines specific challenges, such as AI restrictions in the scope of maintaining code, contextual misunderstandings and a tendency to provide too simplified solutions, ultimately arguing that AI development requires a systematic approach, not ordinary use.
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