👉 Temporarily computing, also known as in-memory computation or just-in-time (JIT) compilation, is a technique where code is executed or compiled on-the-fly during runtime rather than beforehand. Instead of translating or executing code from a source language (like Java, Python, or C++) into machine code beforehand, which can be time-consuming and may not optimize performance for all scenarios, temporarily computing compiles or optimizes code as it is being used. This means that the code is processed and optimized dynamically based on the current execution context, potentially leading to better performance and efficiency since optimizations can be made in real-time based on actual usage patterns. This approach is particularly useful in environments where the same code might be executed repeatedly with different inputs, allowing for optimizations that would not be possible with static compilation alone.
