This post is part of a broader series focusing on professional software development skills in the AI Era. While tools, languages, and frameworks evolve rapidly, certain foundational skills become even more critical. One of them is the ability to express intent, questions, and ideas clearly, starting with the english language.
English as a Programming Interface
English has effectively become the new programming language. Many developers struggle to express what they want in simple, precise terms. This difficulty often appears not only in English but also in their native language, revealing a deeper issue of unclear thinking and communication.
Expression Before Implementation
The belief that future systems will eliminate the need for strong English skills is misleading. Even if programming becomes more language-agnostic, developers must still articulate requirements, intentions, and constraints. Clear expression precedes correct implementation, especially when working with AI-assisted development.
Documentation Still Speaks English
When precision matters, developers turn to official APIs, specifications, and guides. These authoritative resources are written in English. Translations are often incomplete or inaccurate, especially for nuanced technical details. Without solid English proficiency, developers lose access to the most reliable and up-to-date information.
In the AI Era, English proficiency is not about fluency for its own sake. It is about accuracy, control, and professionalism. As software development becomes more intent-driven, the ability to express intent clearly in English becomes a core engineering skill, not a soft one.
