An example of this is memory management. For some languages with less abstraction, a programmer has to manually say how much RAM they need for the task on hand, and then release it once it’s done. If they don’t do this, or if something happens that they don’t account for, this memory usage might grow and grow. Higher-level languages such as Java do this automatically.computer science computer science computer science computer science computer science
The Cost of Automation
That being said, there are certainly some downsides to using higher level languages. Namely, speed. Sometimes, the more that’s taken out of a programmer’s control, the less efficient a program might become.
For example, languages with automatic memory management (usually called garbage collection) can be slower than ones which do not implement this. This is because the program needs time to go through itself and clear out memory at specific intervals.computer science computer science computer science computer science computer science
Compiling: Your Mileage May Vary
Generally, programs written in languages such as C and C++ are said to be faster than most. Most operating systems are written using them, along with some even lower level assembly code. One of the main factors of this comes from them being compiled (as compared to being interpreted).