TypeScript Is Slowing You Down. That's the Point.
The complaint comes up in almost every team that adopts TypeScript: it's slower. Writing types takes time. The compiler is strict. Things that would have just worked in JavaScript now need annotation, inference help, or a proper interface before they compile. The complaint is correct. TypeScript does slow you down. The part people miss is that slowing you down is half the value.
What the slowdown actually is
When TypeScript makes you stop and define a type, it's forcing you to think about the shape of your data before you write code that operates on it. When it flags an error, it's catching a mismatch you were about to introduce. When it refuses to compile, it's telling you that something you assumed about your system isn't true. That friction isn't a bug in the tool. It's the tool doing its job.
Where the speed actually comes back
The time TypeScript costs you upfront is time it saves you downstream. Bugs caught at compile time don't make it to code review. Shape mismatches caught by the type checker don't make it to QA. Runtime errors that would have taken an hour to trace back through the call stack get caught the moment you write the bad line. The speed you lose writing types is a fraction of the speed you gain not debugging things that should never have shipped.
TypeScript doesn't slow down your coding. It slows down your mistakes.
— Zaid Maraqa
The trap developers fall into
The instinct when TypeScript pushes back is to get past it as fast as possible — cast to any, use a non-null assertion, add @ts-ignore. These all work. They all also throw away the thing you were paying for. Every time you silence the type checker instead of understanding what it's telling you, you're taking on the exact kind of debt TypeScript was supposed to prevent. You've kept the compile step and lost the benefit.
How to actually work with it
When the compiler complains, treat it as a question: what does it know that you don't? Usually the answer is that your mental model of the data doesn't match what's actually flowing through the function. Fix the model, not the error message. Start types from the data boundaries — API responses, database records, user inputs — and let inference carry you as far as it can inward. TypeScript is most useful when you stop fighting it and start reading it.