A couple of other commenters have given excellent answers already.
But on the topic in general I think that the more you learn about the history of computing hardware and programming, the more you realise that each successive layer added between the relays/tubes/transistors and the programmer was mostly just to reduce boilerplate coding overhead. The microcode in integrated CPUs took care of routing your inputs and outputs to where they need to be, and triggering the various arithmetic operations as desired. Assemblers calculated addresses and relative jumps for you so you could use human-readable labels and worry less that a random edit to your code would break something because it was moved.
More complex low-level languages took care of the little dances that needed to be performed in order to do more involved operations with the limited number of CPU registers available, such as advanced conditional branching and maintaining the illusion of variables. Higher-level languages freed the programmer from having to keep such careful tabs on their own memory usage, and helped to improve maintainability by managing abstract data and code structures.
But ignoring the massive improvements in storage capacity and execution speed, today’s programming environments don’t really do anything that couldn’t have been implemented with those ancient systems, given enough effort and patience. It’s all still just moving numbers around and basic arithmetic and logic. But a whole lot of it, really, really fast.
The power of modern programming environments lies in how they allow us to properly implement and maintain a staggering amount of complex minutiae with relative ease. Such ease, in fact, that sometimes we even forget that the minutiae are there at all.
A couple of other commenters have given excellent answers already.
But on the topic in general I think that the more you learn about the history of computing hardware and programming, the more you realise that each successive layer added between the relays/tubes/transistors and the programmer was mostly just to reduce boilerplate coding overhead. The microcode in integrated CPUs took care of routing your inputs and outputs to where they need to be, and triggering the various arithmetic operations as desired. Assemblers calculated addresses and relative jumps for you so you could use human-readable labels and worry less that a random edit to your code would break something because it was moved.
More complex low-level languages took care of the little dances that needed to be performed in order to do more involved operations with the limited number of CPU registers available, such as advanced conditional branching and maintaining the illusion of variables. Higher-level languages freed the programmer from having to keep such careful tabs on their own memory usage, and helped to improve maintainability by managing abstract data and code structures.
But ignoring the massive improvements in storage capacity and execution speed, today’s programming environments don’t really do anything that couldn’t have been implemented with those ancient systems, given enough effort and patience. It’s all still just moving numbers around and basic arithmetic and logic. But a whole lot of it, really, really fast.
The power of modern programming environments lies in how they allow us to properly implement and maintain a staggering amount of complex minutiae with relative ease. Such ease, in fact, that sometimes we even forget that the minutiae are there at all.