Article URL: https://andreklein.net/vibecoding-photoshop-time-and-pressure/ Comments URL: https://news.ycombinator.com/item?id=49983780 Points: 15 # Comments: 15
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Headless Vue + WordPress Boilerplate v2.0.0 Yes, Version 2.0.0 is here!!! This boilerplate allows you to use Vue as the front-end for your WordPress theme in a headless architecture. WordPress handles the backend and REST API, while Vue powers the user interface using modern frontend tooling like Vite. 🌟 Use Vue 3 with Vite for a fast and modern development experience ⚡ Hot Module Replacement inside WordPress: save a .vue file and see it instantly, no rebuild 🔌 One-line REST API routes in PHP and one-line calls in Vue (useApi, useWp) 🧭 WordPress pages, posts and menus work out of the box wi
The public issue trackers of the major agent CLIs are the best place to read what "my agent got dumber" actually looks like in the wild. One of the most concrete reports is titled, verbatim: [FEATURE] suggest starting a new conversation when resuming a large/stale session The request is small and specific. When you resume a session that has grown large or has gone stale, the CLI should suggest starting a new conversation, because resuming it drags back a pile of context that no longer describes the work in front of you. Two sibling reports sit in the same class, and their titles are also verba
In September 2026 we compared 176 posted on-demand GPU prices, each cloud's own published rate for each GPU it rents, between the first three and the last three days of the month. 15 ended the month higher, none ended it lower, and the other 161 did not move. Today, October 7, AWS adds an increase of its own to EC2 Capacity Blocks for ML. Everything below comes from the daily prices FastGPU records across GPU clouds, published as an open dataset, and from AWS's own pricing page. Every figure links to the page it comes from.
Originally published on the Alpinum Consulting website. Artificial intelligence is changing the direction of semiconductor innovation. As AI models become larger, more complex and more energy-intensive, the industry can no longer rely only on traditional transistor scaling to deliver the next generation of compute performance [1]. This is where next-generation semiconductors become critical. The future of AI infrastructure will depend on specialised accelerators, advanced packaging, memory-centric architectures, chiplets, photonic computing, neuromorphic approaches and system-level co-design [
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