587 karma · joined August 16, 2022
That being said, not every piece of code needs to be accessible to everyone. Dsls allow you to create a hermetic world inside of a programming environment in which certain properties always hold, even if the environment does not guarantee these things for you. Programs written in the right dsl can be more productive to write and have much lower overall operational costs. But the price is that the rules of the dsl are not necessarily the same as the rules of the host language and this leads to confusion. For the truly ambitious programmer, it can be worth sacrificing accessibility to the median coder to build systems that the median coder can't even conceive of. Of course your reward is to be derided for not expressing the solution in a language they can already understand.
Wrt to Forth itself, Chuck Moore has pointed out that Forth is a multiplier: it makes good programmers better and bad programmers worse. I personally care more about the former property and frankly don't want to work with bad programmers anyway.
I know definitively that for me, personally, the quality of my build tool significantly impacts my productivity. Maven does not meet my personal bar and if I needed to use java for whatever reason, I'm not making a sacrifice to the altar of the jvm ecosystem purity and subjecting myself to maven.
I don't disagree with the concept, but it gets hairy in the particulars. The problem is that of course we rarely ever get to vote on issues such as "should we build a community meeting space?" so we never really get to understand how the electorate truly feels.
Personally, I tend to think that if you nail the memory management technique all the other items will tend to work themselves out. And I think this is actually harder to get right _systemically_ than all of those other things.
The danger is that either you fail to update the documentation to account for the changes in the system that emerge in development or you only update parts of the documentation as you go which causes the documentation to become inconsistent and unreliable.
A middle ground is write the documentation up front and then rewrite it after the system is done. The initial draft helps guide the design and the final version captures the full and complete essence of the finished program, which is nearly impossible to do up front.
vs.
I will donate $20k to your reelection campaign if you streamline the approval process.
Clearly the former construction could not possibly construed as an implied bribe and we shouldn't punish those who want to reward our hard working civil servants for their honorable public service. /s
I agree and personally feel that this is unfortunate and that we are in some ways imprisoned using mediocre to bad compilers by our collective refusal to pay for better ones.
Paul Graham has described lisp as a tool for writing fast programs fast (that's the gist at least). IIRC, he clarifies that each fast is a phase. Lisp allows you to write a fast, high level, prototype that might have poor runtime performance and then you refine the prototype so that the compiler can generate fast machine code.
Forth is similar but feels closer to the machine than Lisp because of the stack based threading model. In Forth, you often don't need manual memory management _or_ garbage collection and you can easily extend the system with new low level words. But it does require you to think differently about your program design so that it fits the stack based vm model.
Historically, Forth has been implemented in assembly but you can write a Forth that targets any host. The truly mind expanding thing is that you, an individual, can write a Forth compiler and you can also write it in such a way that it has multiple targets. For example, you can generate native, jvm and js targets from the same underlying source. Usually this can be done by translating the forth generated AST to source code for another high level language. This allows you to write a fast high level language quickly without getting bogged down in writing, say, fast x86 codegen or a garbage collector. To get started, you just target the host language with the best high level properties that you need (which will be problem and context specific). I don't enjoy writing c, but I have no problem translating to c if I need to for performance or for syscall access.
To illustrate the practical power of this. Suppose that you have an important subcomponent of your system that was written in, say, Node.js. It turns out that this is a critical bottleneck that cannot easily be optimized in javascript. You don't want to rewrite the whole system, but you do want to rewrite that component and have it seamlessly interoperate with the existing system. You could write a small Forth DSL for that subcomponent. This Forth will target javascript initially. You translate the subcomponent into Forth and reuse all of the existing tests (that were presumably also written in javascript). Then you rewrite the tests in Forth so that the entire subcomponent is now written in Forth. Now you write a new backend that translates to say, c or rust with node bindings. You can run the native implementation against a native implementation of the test suite since they're both written in high level Forth at this point. Then you can flip the switch between the native or javascript implementations and be confident that both implementations are identical because they have the same high level description.
Once you start seeing things this way though, you start realizing that you can write Forth style code in any language (and the reverse is also true). Forth is as much about a process for solving programming problems as it is a specific, concrete language. This is also why there is the old adage "once you've seen one Forth, you've seen one Forth."
The art is to design things in such a way so that a minimum amount of time is spent in the trough.
My word that is an impressive level of self-confidence.
Poincare says it better in the book though.
Yes, but I don't think that compile speed has really been pushed aggressively enough to properly weigh this tradeoff. For me, compilation speed is the #1 most important priority. Static type checking is #2, significantly below #1 and everything else I consider low priority.
Nothing breaks my flow like waiting for compilation. With a sufficiently fast compiler (and Go is not fast enough for me), you can run it on every keystroke and get realtime feedback on your code. Now that I have had this experience for a while, I have completely lost interest in any language that cannot provide it no matter how nice their other features are.
Would you be satisfied with a professor who is mindlessly reading back to you information from external course materials? I know I wasn't when I was in school. It was only the professors who made the effort to teach what _they_ knew who were worth learning from.