Is AI Impacting Which Programming Language Projects Use?
Source: Slashdot
Overview
In August 2025, TypeScript surpassed both Python and JavaScript to become the most‑used language on GitHub for the first time ever, according to GitHub’s senior developer advocate.
“AI isn’t just speeding up coding. It’s reshaping which languages, frameworks, and tools developers choose in the first place.”
Eighty percent of new developers on GitHub use Copilot within their first week. Those early exposures reset the baseline for what easy means. When AI handles boilerplate and error‑prone syntax, the penalty for choosing powerful but complex languages disappears. Developers stop avoiding tools with high overhead and start picking based on utility instead.
Language Adoption Data
The adoption metrics illustrate this behavioral shift:
- TypeScript grew 66 % year‑over‑year
- JavaScript grew 24 % year‑over‑year
- Shell scripting usage in AI‑generated projects jumped 206 %
That last figure matters. We didn’t suddenly love Bash; AI absorbed the friction that made shell scripting painful, allowing us to use the right tool for the job without the usual cost.
“When a task or process goes smoothly, your brain remembers. Convenience captures attention. Reduced friction becomes a preference — and preferences at scale can shift ecosystems.”
Implications for Development Practices
-
Strongly typed languages:
“AI performs better with strongly typed languages. Strongly typed languages give AI much clearer constraints…” -
Standardization:
“Standardize before you scale. Document patterns. Publish template repositories. Make your architectural decisions explicit. AI tools will mirror whatever structures they see.” -
Testing:
“Test AI‑generated code harder, not less.”