the brief
Quiet but worthwhile day: Anthropic shared a Phase Two update on Project Fetch, while a strong deep dive broke down epoll vs io_uring tradeoffs for Linux I/O. The rest leaned pragmatic—how to judge AI-written code and an evergreen CORS explainer worth bookmarking for web API work.
Anthropic outlines Phase Two of Project Fetch, expanding on goals, methodology, and reported results—useful primary-source context for teams exploring agent workflows and long-horizon evaluation.
Project Fetch: Phase Two — Article URL: https://www.anthropic.com/research/project-fetch-phase-two Comments URL: https://news.ycombinator.com/item?id=48614311 Points: 32 # Comments: 11
A clear, practical comparison of semantics, overhead, and real‑world gotchas helps system builders choose the right Linux I/O model for high‑throughput servers and runtimes.
Epoll vs. io_uring in Linux — Article URL: https://sibexi.co/posts/epoll-vs-io_uring/ Comments URL: https://news.ycombinator.com/item?id=48613872 Points: 62 # Comments: 20
A crisp, still‑relevant explainer on preflights, headers, and mental models that prevents broken or risky cross‑origin setups—worth a refresher for any web API work.
Developers don't understand CORS (2019) — Article URL: https://fosterelli.co/developers-dont-understand-cors Comments URL: https://news.ycombinator.com/item?id=48614844 Points: 10 # Comments: 3
A thoughtful rubric for saying no to AI‑generated code—favoring readability, invariants, and maintenance cost—useful for formalizing review standards with LLMs in the loop.
When I reject AI code even if it works — Article URL: https://vinibrasil.com/when-i-reject-ai-code-even-if-it-works/ Comments URL: https://news.ycombinator.com/item?id=48614631 Points: 35 # Comments: 14
