Things I learned from teaching(claytonwramsey.github.io)

211 points by claytonwramsey 2 years ago | 100 comments

Bootstrapping GDC with DMD(briancallahan.net)

18 points by LorenDB 3 months ago | 2 comments

Carl's Required Reading(carlkolon.com)

212 points by cckolon 2 months ago | 26 comments

I added some optimizations to my compiler that turns Lisp into JavaScript(healeycodes.com)

102 points by healeycodes 2 years ago | 17 comments

The mathematical beauty of hyperbezier curves(linebender.org)

190 points by raphlinus 2 months ago | 38 comments

Prolog's Eternal September (2017)(storytotell.org)

77 points by Tomte 1 year ago | 61 comments

I'm just having fun(jyn.dev)

457 points by lemper 10 months ago | 209 comments

A blog post by jyn, a compiler engineer, arguing that programming isn't a competition and that they write about technical topics simply for fun.

I believe there are entire companies right now under AI psychosis(twitter.com)

2013 points by reasonableklout 5 months ago | 1180 comments

Mitchell Hashimoto's X post arguing some companies are in 'AI psychosis', relying on agents to fix bugs fast (MTTR) at the expense of reliability (MTBF).

I don't want to read what you didn't write(blog.colinbreck.com)

952 points by mooreds 1 month ago | 394 comments

Colin Breck's blog essay arguing against reading AI-generated writing such as design documents and summaries, and describing where he finds AI useful.

TODOs aren't for doing(sophiebits.com)

380 points by todsacerdoti 1 year ago | 218 comments

A blog post by Sophie Alpert arguing that TODO comments are valuable as documentation of known issues even if never acted on, and shouldn't be auto-deleted or tracked.

Your small imprecise ask is a big waste of their time(staysaasy.com)

418 points by zdw 3 years ago | 250 comments

A Stay SaaSy blog post arguing that vague, imprecise requests from managers and executives cause teams to waste large amounts of time.

Why I'm still bearish on LLMs after Navier-Stokes(dank.systems)

426 points by jaykru 1 month ago | 552 comments

Personal blog essay by Jay Kruer arguing LLMs remain overhyped despite headline results like Navier-Stokes, citing poor generalization, reward hacking, and specification costs.