LLMs could be, but shouldn't be compilers(alperenkeles.com)

104 points by alpaylan 8 months ago | 112 comments

HackEurope 2026: A short rant on AI and hackathons(duti.dev)

48 points by mindracer 2 months ago | 39 comments

I wrote a new JIT compiler for PostgreSQL(pinaraf.info)

263 points by mattashii 2 years ago | 31 comments

Hacker News' favorite Xkcd comics (2022)(quaxio.com)

53 points by monort 2 years ago | 15 comments

Oh My Zsh adds bloat(rushter.com)

285 points by fla 9 months ago | 255 comments

LLM codegen go brrr – Parallelization with Git worktrees and tmux(skeptrune.com)

144 points by skeptrune 1 year ago | 66 comments

I don't like NumPy(dynomight.net)

399 points by MinimalAction 1 year ago | 164 comments

A Dynomight blog essay critiquing NumPy's design, arguing its array broadcasting and indexing make complex computations confusing.

The new skill in AI is not prompting, it's context engineering(philschmid.de)

832 points by robotswantdata 1 year ago | 467 comments

Blog post by Philipp Schmid arguing that context engineering, supplying LLMs with the right information and tools, matters more than prompting for AI agents.

AI Made Writing Code Easier. It Made Being an Engineer Harder(ivanturkovic.com)

343 points by saikatsg 7 months ago | 242 comments

Blog post by Ivan Turkovic arguing that AI tools make producing code easier while making the broader job of being a software engineer harder.

AI is just unauthorised plagiarism at a bigger scale(axelk.ee)

665 points by speckx 5 months ago | 542 comments

A personal blog post arguing that AI companies train on authors' work without consent or compensation, amounting to plagiarism at scale.

AI agents: Less capability, more reliability, please(sergey.fyi)

393 points by serjester 1 year ago | 230 comments

Blog post by Sergey Filimonov arguing AI agents should prioritize reliability over expanded capability, critiquing flight-booking demos.

The path to ubiquitous AI (17k tokens/sec)(taalas.com)

804 points by sidnarsipur 8 months ago | 436 comments

Taalas blog post by Ljubisa Bajic arguing that latency and cost limit AI adoption and presenting its approach to very fast (17k tokens/sec) inference hardware.