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Software Engineering

The most popular blog posts about software engineering on Hacker News. 1,357 posts.

2019
1293

Modern C++ for C Programmers

2018 is an exciting time to be a programmer, with so many good “full service” programming languages to choose from: C, C++ 2017, Go, Python, Rust and who knows Swift too. Programming languages are complicated beasts - even the simplest languages have specifications that run (or would run) in the hundreds of pages, and…

1298

Notes on a Smaller Rust

Many people who use Rust for a bit - especially those who like the language but do not fall in love with it - feel a sense that there must be a smaller, simpler variation on the same theme which would maybe be a little less powerful, but would also be much easier to use. I agree with them, but I think they are almost…

1302

Running Forth Unikernels

Forth has been called lots of things and it was something that I figured we could easily unikernelize so I dove into it. I think it's safe to say I've never written any production Forth nor do I see myself doing so but having said that - let's begin!

1307

Mu: Sketching out a minimal system programming language

In the previous post , I described what my new hobbyist computing stack looks like today, and how the design decisions seemed to accumulate inevitably from a small set of axiomatic goals. In this post I describe some (far more speculative) future plans for Mu and try to articulate how the design process continues to…

1310

Dear Programming Job Applicants (2010)

This article is written with considerable snark–put on your flameproof suit if needed. I’m not actually a jerk when interviewing people, but I do get frustrated when candidates fail to do basic preparation. If you’re unsure about how to prepare for a programming interview, read on… I know this might come as a shock to…

1312

Building a language server for Muon

I’m a big fan of interactive tool support for programming. I often use features like “go to definition”, “find symbol”, compile error underlining, etc. Also, earlier this year, I launched Muon, a new low-level programming language. As no tooling existed beyond the compiler, writing the initial Muon programs (such as a…

1318

Anatomy of a High-Performance Convolution

It's no surprise that modern deep-learning libraries have production-level, highly-optimized implementations of most operations. But just what is the black magic that these libraries use that we mere mortals don't? What exactly does one do to "optimize" or accelerate neural networks operations?