But the main idea with this is to avoid the pitfalls of conventional code generation such as GQL Code Generator. See "The Big Picture"[1] in the core docs.
When I see "no code on disk" I see that as a downside. What happens when this generated code has a bug? How do I set a break point in this code? How do I see the code to know what it is doing?
Extending the compiler is great... until it isn't. Imagine a feature in java the language not working correctly due to a compiler bug. Debugging or working around this issue could be very difficult. With compiler extensions, you are now widening the opportunity for this type of bug to occur.
More principled code generation systems like Racket's macro system do in fact let you expand the code to see what's generated while avoiding having a separate build step, and even have a macro debugger for interactive debugging. Mainstream languages have a ways to go before we get this kind of tooling for language extension frameworks. Until then, I think I prefer having a separate build step with on-disk, visible, and debug-able code.
You can see the generated code in the IDE via Edit | View Java Source when a resource is selected. And you can debug it as well. Sort of the best of both worlds. What makes Manifold most interesting, however, is the entire dev experience when used in the IDE. This short screencast demonstrates some of that: http://manifold.systems/images/graphql.mp4
I definitely agree; the author clearly thought no on-disk produced code was a feature, but it makes me nervous. Similarly, the author then goes on to say how the framework supports circular dependencies between manifolds, or manifolds that each modify one another's types ... and I immediately think that will create debugging nightmares.
In most cases, the devs that should be concerned about debugging generated code are the authors of the generator. If there are bugs in released code, consumers of the API should file against them. In any respect, as I mentioned in a previous comment when a resource is selected you can view its generated source via Edit | View Java Source.
> What happens when this generated code has a bug?
That's a bug in the generator and should be treated as such. Patch or throw out the generator. It's not sustainable to review and patch "generated code", because then it's just "code".
The only reason I need code-on-disk is if I need to generate bindings into multiple languages.
But looking at the generated code, in the specific context where it was produced, is possibly a key step to understanding the bug in the generator. How else are you going to understand how to patch it, or whether the it's bad enough that you have to "throw out the generator" (if you can afford to do that)?
I misspoke when I said "Patch [...] the generator." I meant to say "Have someone else patch it". I meant to imply your time is too valuable to look at the intermediate source.
I'd drive a car to work to save time. If I have to get out and push the car instead, that's
happening no more than once. I ditch the car, because it no longer saves me time. Getting out and pushing the car is not going to become part of my commute, and I'm not going to evaluate future cars on how easy they are to push.
You can afford to throw out the generator because it doesn't claim to give you new functionality. It just cuts down on boilerplate. If it can't do that properly, write the boilerplate.
Extending the compiler is great... until it isn't. Imagine a feature in java the language not working correctly due to a compiler bug. Debugging or working around this issue could be very difficult. With compiler extensions, you are now widening the opportunity for this type of bug to occur.
More principled code generation systems like Racket's macro system do in fact let you expand the code to see what's generated while avoiding having a separate build step, and even have a macro debugger for interactive debugging. Mainstream languages have a ways to go before we get this kind of tooling for language extension frameworks. Until then, I think I prefer having a separate build step with on-disk, visible, and debug-able code.