The company says the increases are being driven by rising memory and console storage prices, with costs more than 2.5x higher than previous levels.

Spain's mobile networks will need to stay live for at least four hours during power outages, per new rules.

submitted by /u/patrickdevivo [link] [留言]

The company said it is discontinuing its email inbox in favor of its AI agent offering as users are increasingly handing over the reins of their email to the agents.

Polestar moved some of its production to the US, but it may be locked out from selling its cars here soon.

Notion is "going all in on using agents to run your inbox."

Cloudflare has recently shared how they uncovered an issue in their Rust implementation of CUBIC, a congestion controller algorithm, which prevented it from recovering from a scenario of heavy packet loss at the start of a connection. By Gianmarco Nalin

Retroid's Pocket Nova seems capable of handling games up to the GameCube and PS2 era.

Table of Contents Overview Southwest and AWS From On-Prem to Cloud AI Comes Into Play Kiro Why This Matters? Closing Thoughts Overview Southwest Airlines is one of the largest carriers in the world. Other than having by far my absolute favorite airplane livery, it's a massive enterprise based in Dallas, Texas, with more than 72,000 employees, over 4,000 daily flights during peak travel periods, roughly 134 million customers annually, and service across 120+ airports in 12 countries. At this scale, what really matters is operational reliability and speed. Because in aviation, slow operations cause delays, delays cause unhappy customers, and unhappy customers aren't particularly great for the company's revenue. A few minutes of latency in one system can turn into hours of disruption in the real world. So... can cloud and AI solve it? Absolutely, if done right. Southwest and AWS Southwest has selected Amazon Web Services (AWS) as its primary cloud partner to help modernize its technology stack and transform how the airline runs, develops systems, and serves its customers. Through this collaboration, Southwest plans to move away from a predominantly on-premises infrastructure toward a cloud-based, AI and agent-enabled architecture on AWS by 2028 . 2028 is not far away from now (Jun 25, 2026). This is very ambitious considering the amount of work that needs to be done. From On-Prem to Cloud Moving an enterprise of this size from on-prem infrastructure to the cloud is way more complex than it sounds. It doesn't sound easy either. It's one of the hardest things you can ever do as a software engineer, DevOps engineer, architect, engineering manager, or anyone else involved in it. It involves a lot of steps, including but definitely not limited to: Assessing existing systems, dependencies, and infrastructure to understand what needs to move and how Defining a migration strategy (lift-and-shift, replatforming, or full refactoring to cloud-native architecture) Designing and bu

The problem Just saying "hi" to Claude Code costs ~31,000 tokens . I was paying $500+/month in API costs and had no idea where the tokens were going. So I built tokenwise — a free CLI that shows exactly where your AI coding agent wastes tokens. What it does tokenwise audit — Scan your instruction files It scans your CLAUDE.md, AGENTS.md, and rules files, then shows: How many tokens each file costs per message Boilerplate the AI already knows ("Always write clean code") ALL-CAPS emphasis that doesn't help (NEVER, ALWAYS, MUST) Duplicate sections Unscoped rules that load when they shouldn't tokenwise scan — Analyze your sessions It reads your latest session logs and shows: Token breakdown by component (system prompt, history, tool output) Cache hit rate Top 3 "token hogs" with actionable tips Monthly cost projection The key insight Most people try to compress context (which makes the AI dumber). tokenwise measures first, then applies safe fixes. You can't optimize what you can't measure. Quick start npx @davizin713/tokenwise audit npx @davizin713/tokenwise scan Zero API calls. Zero LLM inference. 100% local. Free forever. Works with 11 agents Claude Code, OpenCode, Cursor, Aider, Cline, Codex CLI, Goose, Continue.dev, Windsurf, Augment, and Kilocode. Links GitHub: github.com/davi713albano-coder/tokenwise npm: npmjs.com/package/@davizin713/tokenwise Built with TypeScript / Node.js js-tiktoken for token counting sql.js for reading OpenCode sessions MIT licensed If you use Claude Code or any AI coding agent, try it and let me know what you think! ⭐

https://www.bbc.com/news/articles/c74yn7v7k4qo

A real planner for Google Tasks Discussion | Link

It took 20 years, but the Finance app arrives just in time to be packed full of AI.

As developers, data engineers, or analysts, we’ve all been there: you download a massive database export, a logging stack dump, or a transaction archive, only to find it's a multi-gigabyte JSON file. You try to import it into a spreadsheet or run it through a standard online converter, and boom—your browser tab freezes, crashes, or shows the dreaded "Out of Memory" screen. Even worse, if you try to use standard cloud-based online tools, you might have to wait for a 500MB upload to complete, only to hit a rigid file-size cap or, worse, compromise sensitive data privacy by uploading corporate logs or database records to a third-party server. In this guide, we will explore: Why large JSON files crash standard parsers (the V8 heap limit problem). How streaming architectures solve this by reading data chunk-by-chunk. NDJSON (JSON Lines) vs. JSON Arrays and how to stream them. A browser-native, 100% offline tool to convert large JSON to CSV instantly: Parsify's Large JSON Stream Converter . How to implement your own basic browser-based JSON streaming parser in JavaScript. 1. The Anatomy of a Memory Crash (Why JSON.parse Fails) If you are using JavaScript or Node.js, the simplest way to read and parse a JSON file is to load the file into memory and run JSON.parse(). const fs = require ( ' fs ' ); // Naive approach: Will crash on a 1GB+ file fs . readFile ( ' database-dump.json ' , ' utf8 ' , ( err , data ) => { if ( err ) throw err ; // POINT OF FAILURE: V8 Heap Out of Memory const records = JSON . parse ( data ); records . forEach ( record => { // Process record... }); }); This works fine for small config files. But once your JSON file reaches 100MB, 500MB, or 1GB+, this approach is guaranteed to trigger a fatal crash: FATAL ERROR: Ineffective mark-compacts near heap limit Allocation failed - JavaScript heap out of memory Why does this happen? The String Duplication Overhead: When you load a 1GB file into memory, you first allocate ~1GB of RAM for the raw text string. The

Creating Short Links with PHP: A Practical Guide URL shorteners are everywhere. They're used in marketing campaigns, email newsletters, QR codes, social media posts, affiliate links, and analytics platforms. While most developers are familiar with services like Bitly, integrating a URL shortener directly into your application is often much more useful. In this article, we'll build short links from PHP using an API. Why Create Short Links Programmatically? Creating links through a dashboard works for occasional usage. But applications often need to generate links automatically. Common examples include: Email campaigns User invitations Affiliate systems QR code generation Marketing automation Analytics tracking Customer portals An API allows applications to create and manage links without human interaction. The Traditional HTTP Approach Most URL shortener APIs work through simple HTTP requests. For example: $client = new GuzzleHttp\Client (); $response = $client -> post ( 'https://example.com/api/links' , [ 'headers' => [ 'X-Api-Key' => $apiKey , 'Content-Type' => 'application/json' , ], 'json' => [ 'url' => 'https://example.com/article' ] ] ); $data = json_decode ( $response -> getBody (), true ); echo $data [ 'short_url' ]; This works. But once your application creates dozens or hundreds of links, the amount of boilerplate code starts growing. Using a PHP SDK A PHP SDK removes most of the repetitive work. Installation is usually straightforward: composer require lix-url/php-sdk Creating a link becomes much simpler: $link = $client -> links () -> create ([ 'url' => 'https://example.com/article' ]); echo $link -> shortUrl ; The SDK handles: Authentication HTTP requests Response parsing Error handling DTO mapping This allows your application code to remain clean. Creating Your First Short Link Let's imagine an application that sends invitation emails. $inviteLink = $client -> links () -> create ([ 'url' => 'https://myapp.com/invite/abc123' ]); echo $inviteLink -> short

The skyrocketing cost of computer components needs to foster a new mindset.

It's not so much about using a wrong port, and more so about freeing up the more capable ones for needier devices.

Provisioning a Bedrock RAG knowledge base with S3 Vectors, without the hallucinated API calls. If you've asked an AI coding agent to set up AWS, you've seen it confidently invent a parameter, reach for a deprecated service, or burn ten minutes retrying against a service it never saw in training. The failure mode that bites hardest is the silent one: the agent thinks it succeeded, and you find out an hour later. I hit two of these while standing up the retrieval layer for a LangGraph support bot, an Amazon Bedrock Knowledge Base backed by Amazon S3 Vectors. I'd love to say I caught both with deep AWS expertise. I caught them because the Agent Toolkit for AWS read the docs I hadn't. Both would have shipped, and neither did. The 30-second setup The goal: take a folder of markdown product docs and make them queryable by meaning, so an agent can answer "is this safe for color-treated hair?" from the real docs instead of guessing. Think of it as giving the agent a library it can search instead of making things up. That's the retrieval half of RAG, the foundation a LangGraph agent will later call as a tool. Four moving parts, wrapped in one managed service: Source bucket : an S3 bucket holding the docs. Embeddings : Amazon Titan Text Embeddings V2 (1024-dim vectors). Vector store : Amazon S3 Vectors. I chose it over OpenSearch Serverless because it has no always-on compute, the difference between cents and a monthly surprise for a demo that sits idle. Knowledge Base : Amazon Bedrock Knowledge Bases ties it together into one thing you can query with a retrieve call. To follow along, you need an AWS account, a non-root IAM identity with credentials configured locally, uv installed, and the toolkit installed in your agent. The fastest path across Kiro, Claude Code, Cursor, and Codex is the AWS CLI installer, aws configure agent-toolkit ; in Kiro you can instead add the AWS MCP Server to .kiro/settings/mcp.json (pin the mcp-proxy-for-aws version) and run npx skills add aws/age

Disclosur: Ini dari tim Nexotao — saya bahas gateway kami sendiri di bawah. Saya jaga sebatas fakta yang bisa kamu cek sendiri: semua nama model, context window, dan harga ada di halaman pricing kami, dan saya kasih linknya. Kalau kamu developer di Indonesia, kemungkinan besar pernah kejedot ini: API OpenAI dan Anthropic minta kartu kredit luar negeri . Nggak punya kartu, nggak bisa pakai API. Banyak dari kita mentok di situ. Solusi yang jalan sekarang: gateway lokal yang nerima QRIS / Rupiah . Ini versi jujurnya — gimana cara kerjanya, berapa biayanya, dan apa yang belum bisa. Dua model live, satu API yang kompatibel Lewat Nexotao kamu pakai dua model teks: Claude Opus 4.8 ( claude-opus-4-8 ) — context window 350.000 token DeepSeek-V4-Pro — context window 131.072 token Itu angka context window yang dipublikasikan apa adanya — tanpa pemotongan diam-diam. Endpoint-nya kompatibel dengan OpenAI dan Anthropic , jadi biasanya cukup ganti base URL sama key-nya. Format OpenAI: from openai import OpenAI client = OpenAI ( base_url = " https://api.nexotao.com/v1 " , api_key = " sk-nexo-... " ) resp = client . chat . completions . create ( model = " claude-opus-4-8 " , messages = [{ " role " : " user " , " content " : " Halo " }], ) print ( resp . choices [ 0 ]. message . content ) Format Anthropic: curl https://api.nexotao.com/v1/messages \ -H "x-api-key: sk-nexo-..." \ -H "anthropic-version: 2023-06-01" \ -H "Content-Type: application/json" \ -d '{"model":"claude-opus-4-8","max_tokens":256, "messages":[{"role":"user","content":"Halo"}]}' Cara bayarnya Top up saldo Rupiah via QRIS , mulai Rp10.000 . Tanpa kartu luar negeri. Bayar sesuai pakai — dipotong per token. Tanpa langganan , dan saldo nggak hangus. Tiap response ada header X-Cost-Rp , jadi kamu lihat biaya rupiah persis tiap request. Berapa biayanya Saat tulisan ini dibuat, Claude Opus 4.8 lewat gateway sekitar 70% lebih murah dari harga retail resmi (input) — tapi jangan percaya saya gitu aja. Halaman perbandingan har