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Software Engineering

The most popular blog posts about software engineering on Hacker News. 1,535 posts.

2024
1111

The upcoming iterator design for Go 1.23

NOTE: This is based on, but completely rewritten, from a Twitter post:https://x.com/TheGingerBill/status/1802645945642799423TL;DR: It makes Go feel too "functional" rather than being an unabashed imperative language.I recently saw a post on Twitter showing the upcoming Go iterator design for Go 1.23 (August 2024)…

1114

Take the Road Most Documented

How great would it be if the solution to most errors you face were in the first place you looked? That’s what the Arch Wiki has been for me: a massive wealth of information and troubleshooting resources to help me navigate the various configuration and installation issues I’ve encountered. Some people claim Arch Linux…

1115

Array Languages: R vs. APL (2023)

I’ve been learning at least one new programming language a month through Exercism which has been really fun and interesting. I frequently say that “every language you learn teaches you something about all the others you know” and with nearly a dozen under my belt so far I’m starting to worry about the combinatorics of…

1118

How to Build a Chess Engine and Fail

A Chess-AI is something every programmer should build at least once and [Sebastian Lague’s](https://www.youtube.com/@SebastianLague) [competition](https://www.youtube.com/watch?v=iScy18pVR58) was the perfect opportunity for me to do so. Constrained to 1024 tokens I wanted to implement an evaluation function similar to…

1123

UUID Benchmark War

This month’s PGSQL Phriday #015 topic is about UUIDs, hosted by Lætitia Avrot. Lætitia has called for a debate. No, no, no. I say let’s have an all-out war. A benchmark war. I have deci…

1135

An Exploration of SBCL Internals (2020)

SBCL is a Common Lisp implementation, with a performant compiler and support for a wide range of platforms. It has excellent documentation , and even a guide to internals (... this is written towards people who already know a lot about how it works though). This paper about SBCL's fairly unique build process is also…

1138

Using a LLM to compress text

Introduction Large language models are trained on huge datasets of text to learn the relationships and contexts of words within larger documents. These relationships are what allows the model to generate text. Recently I've read concerns about LLMs being trained on copyrighted text and reproducing it. This got me…