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The most popular blog posts about software engineering on Hacker News. 21,843 posts.

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17557

Dijkstra's Algorithm

I was at SCNA the other day, and someone approached me about TDD and Dijkstra’s algorithm. He wondered if you could find a sequence of tests that would lead you to the algorithm. This sounded like a fun little exercise, so I decided to give it a try here.

17558

Sometimes Kill -9 Isn't Enough

If there’s one thing to know about distributed systems, it’s that they have to be designed with the expectation of failure. It’s also safe to say that most software these days is, in some form, distributed—whether it’s a database, mobile app, or enterprise SaaS. If you have two different processes talking to each…

17562

Anatomy of Linux Dynamic Libraries

Dynamically linked shared libraries are an important aspect of GNU/Linux. They allow executables to dynamically access external functionality at run time and thereby reduce their overall memory footprint (by bringing functionality in when it's needed). This article investigates the process of creating and using…

17566

Optimizers: The Low-Key MVP

The query optimizer is an important part of any analytical database system as it provides considerable performance improvements compared to hand-optimized queries, even as the state of your data changes.

17567

Counting Clojure Code

For better or worse, we count lines of code. We (hopefully) feel a little dirty when we do it, because it's a flawed metric. But we do it . We do it on large codebases and small code snippets . Even badass hacker David Nolen does it .

17569

Time-Travel Debugging for JavaScript/Node.js

Time-traveling in the execution history of a program during debugging enables a developer to precisely track and understand the sequence of statements and program values leading to an error. To provide this functionality to real world developers, we embarked on a two year journey to create a production quality…

17571

Clip: Connecting Text and Images

We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural language supervision. CLIP can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the “zero-shot” capabilities of GPT-2 and GPT-3.

17576

LLVM internals, part 4: attributes and attribute groups

This is the last post I plan to do on parsing LLVM’s bitcode, at least for a while. I’ll keep working on the various libraries that I’ve started under the mollusc umbrella, but they won’t be accompanied by regular posts anymore — I’d like to refocus on writing smaller, less dense (read: lower-pressure) posts for a…