AI is fundamentally reshaping software development by influencing not only productivity but also language choice and the nature of coding tasks themselves, as evidenced by the Octoverse report. While TypeScript's rise over Python and JavaScript in GitHub usage reflects AI's impact on language trends, the real shift lies in how AI compatibility now influences developers' language decisions, favoring typed languages for their structural advantages and reduced risk of errors. This change is creating a feedback loop where AI tools are more effective with languages that provide clear correctness cues, like TypeScript, leading to their increased adoption. The influence of AI is also evident in the unexpected popularity of shell scripting, such as Bash, which saw significant growth due to AI's ability to handle tedious coding tasks. This trend suggests that AI is lowering the barriers to using more challenging languages by automating less enjoyable coding aspects, shifting developers' focus from language enjoyment to practical utility. As enterprises increasingly adopt AI, the role of senior developers is evolving from coding to architecture and validation, highlighting a shift in skills measurement. The anticipated future development landscape may transcend current language constraints through innovations like WebAssembly, emphasizing portability and ecosystem leverage over language syntax, thereby suggesting a strategic focus on optimizing for leverage rather than language loyalty in the coming decade.