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And then document it. The way most things were built at the time. First, he wrote the manual. The full documentation That served as the spec. Then the coding started. Some more detail on this: The starting point for BRender was a sequence of software rendering experiments that grew from ‘never doing it like our hand coded asm real mode x86 renderers ever again’.

There were various diversions, eg: an achingly beautiful plane sweep that only rendered the visible parts of each output scanline, whilst murdering the cache so comprehensively that there are likely still lines waiting to be filled even now.

Fortunately, to get the FX Fighter team going with something stable whilst debugging continued, I knocked up a Z buffer implementation, and was given a sharp lesson on caching when it blew all the previous attempts away notably with consistency of performance. Arriving at this point we figured there might be a product in it and looking at our own interaction with other libraries, it was clear that a manual was key to this. If I remember correctly, the API was a negotiation between myself proposing designs, and Crosbie Fitch documenting it – pushing back with ways to make things easier to explain.

It worked out very well, and we took it into later Argonaut hardware projects. The clients had very particular views about how APIs should look, depending on planned uses, in house style, compatibility etc. We would negotiate the API documentation back and forth – including lots of sample code. This sample code was important, and BRender would have benefited from more of this.

I took lots of real use cases, then wrote proper code to implement them against the proposed APIs and included them in the docs as tutorial and example code. Importantly – they were a representative sampling of the anticipated uses not just the easy ones , they were not ‘handwavy’ and included all appropriate resource management and error handling, and they had to read well on the page.

As the API negotiation continued, so the examples and tutorials got updated. This process also had the benefit that we only started investing in client specific software development once the project had got enough momentum typically committing hardware NRE. LeonM 42 days ago root parent next [—]. This is what I love about HN.

Somebody quotes an almost 30 year old readme file, and the person mentioned in the readme chips in to tell the full story. Thank you Sam! I really wish software was written this way these days. These days I am always being rushed through sprints barely knowing what is going on. What you described sounds like a wonderful way to actually engineer a great API. It is! Although what I missed out from above is that whilst the API and it’s documentation is the deliverable – we would, to the best of ability, try and minimise risk whist developing it.

Eg: by doing small performance experiments, drawing on prior experience, thinking about the evolution of resources within the API whilst writing samples, and looking at how other APIs handle similar things but be careful – they may have had to perform heroics to achieve their behaviour.

Whilst the official progress is top down, the duck’s feet are working hard feeling along the bottom to check for obstacles.

I feel like sprints should be more relaxed: “Oh you might bleed over into the next week? Don’t stress, that’s fine. Can we help you get unblocked and how? Don’t over promise, you will be severely disappointed. Software breaks, it does not care for deadlines. This how my team functions. It’s such a refreshing work experience. Estimating work is hard, we shouldn’t be punished or feel bad when we’re off a bit. That’s kind of the way I write APIs, albeit at a smaller scale.

I remember a talk from the developers of the Python requests library mentioning this same process. Yes, I do this too The thing I was talking about was larger scale projects like the ones mentioned by the author of the sort I work on at my day job where you have teams of stakeholders and outside influence combined with a desire to release rapidly in an iterative form. Software these days is just done differently in those contexts I just wish the world was sorted in a way or slowed down enough to do REAL engineering.

I kinda work this way on my personal projects: first I come up with a rough idea of the UX, and only then do I start implementing it. The desired UX ends up driving the decisions about the implementation details and technicalities — not the other way around as it often happens in much of modern software. And I, of course, disregard the time component. I seem to remember BRender being one of the highest-performance software renderers of the day.

I used to talk to Jez on Usenet and he offered me an interview at Argonaut I was 16 I think after I showed him my hand-coded x86 renderer. I don’t think I was doing any real mode by that time, though.

I can’t even remember what effect running in real mode would have outside of the memory limitations? You can still access the full 32bit registers, right? There were also some renderers out of the demo scene that were definitely faster but often with perf.

The code was mostly C, with some protected mode x86 for inner loops. Prior to that point, all our PC games had been real mode x and BRender was a result of moving away from that. Yeah, I was coming from the demo scene side, although my code ended up in an Eidos game.

Thanks for the memories. I’m glad the code survived all these years until it could be released. ArtWomb 42 days ago root parent prev next [—]. Arrath 42 days ago root parent prev next [—]. Very evocative writing, I love it. CrosbieFitch 37 days ago root parent prev next [—]. Is this really ‘4 days ago’ as of 8-May? If it is, “Hello Sam! CrosbieFitch 37 days ago root parent next [—]. Therefore, producing a more thorough technical reference manual seemed to me to kill 2 birds: I’d obtain a sufficient understanding, and so would the customers.

Thus although Jez was right that the manual came first, the process of producing a more thorough TRM gave rise to Sam’s observations.

Long time! Maybe we should wait until Dan back over, get the old gang together, and see if we can finally agree on a restaurant. CrosbieFitch 33 days ago root parent next [—]. Well, if the restaurant is in France, that’s a possibility.

ChicagoDave 42 days ago root parent prev next [—]. This sounds a lot like Domain-Driven Design. Model first. Test with code. Validate with scenarios. You start e. It’s a very useful approach to think big and focus on the problem instead of the many little issues that need to be solved. The problem is that programming is still knowledge work. That means you can not specify everything beforehand without doing the actual work. Like writing a novel, which can not specified before. I remember seeing a programming tutorial that used this approach as well fairly early in my software engineering education.

It was pitched as something like “wishful thinking programming” IIRC. First you write the highest-level “business logic” code that you want to write with made-up constructs that have no implementation, then only once you’ve established that it feels good to write code using those constructs do you implement them.

Wishful thinking is mentioned several times in SICP, both in terms of to be implemented functions and in separation of concerns. Oftentimes in the book, they will write out a function with reliance on a variety of other functions that haven’t been written yet, but which show a blissfully declarative outline of exactly what the function does.

Then you go and write the sub-functions. This is an actual advantage of test-driven design; unit tests are bad for their stated purpose they aren’t good at testing things and are expensive to maintain , but because they make you write clients for your APIs before implementing them, you actually have some hope of knowing they’re useful. I think you should consider writing unit tests before coding but then delete them and then write regression tests after.

Though, haven’t tried this approach yet. I’ve done some hobby projects this way, of course I’ve allowed myself to go back and adjust the documentation where the implementation would be easier or simpler from only slight alterations of the workflow.

It’s been very pleasant, and allowed me to make good sense of what I was doing and where I was going. Right now, at work, I am getting insane with a task of re implementing some web forms that talk to shinier API. No documentation “just read the previous ruby server side validation code and put it on the js front-end”. So I am hunting for hints and people to to be sure the code does what it intended to do.

And I get cup sized eyes when asking for documentation :D. That means you have to study the old code, which is of course poorly documented and probably buggy; and then try to reproduce it in a sane way.

Alternative idea: keep running the same Ruby code. Pretty cool. I changed the languages for privacy reasons but your solution still stands.

 
 

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