A survey reveals that over 71% of developers base language migration decisions on industry hype rather than proven results, with many migrations leading to new technical debt. While AI tools have made migrations easier, caution is urged to avoid unnecessary changes driven by excitement rather than necessity. To ensure successful migrations, developers should rely on metrics and case studies to guide their decisions.

Code smells in TypeScript, such as inadequate state management and untyped promise responses, can lead to maintainability and readability issues in a project. Utilizing AI code review tools can help identify and resolve these issues early, enhancing code quality and preventing technical debt. By addressing these code smells, development teams can focus on building features more efficiently.

The tech industry faces a significant crisis for junior developers, with job openings plummeting and many resorting to "vibe coding," a practice that relies on AI to generate code without learning fundamental programming skills. This trend risks producing a generation of pseudo-developers who lack the ability to debug, understand, or maintain their applications, ultimately making them vulnerable in a competitive job market. The reliance on AI tools has been shown to decrease productivity and create substantial technical debt, leading to a skills degradation crisis among new developers.