5 Things AI Can't Do, Even in Typescript

AI-assisted code tools like GitHub Copilot have been boosting developer productivity these days. Research shows that 60 to 75 percent of Copilot users find the tool useful, and AI assistance increases developer efficiency somewhere between 17 and 43 percent. But despite these advantages, we shouldn't forget that AI's capabilities in software development have limits. Especially in languages with static type systems like TypeScript, AI still struggles in areas requiring human intelligence like context comprehension and creative problem solving. What follows examines five main situations where AI falls short, both generally and specifically in TypeScript. Each section includes real-world examples or scenarios, examining with technical detail why AI might fail in that area. Start with what might be called contextual blindness. AI can write code, but it's inadequate at understanding the business context and requirements behind that code. AI suggestions typically rely on general truths; they