🌍 TechCrunch

Meta releases its first frontier model, Muse Wonder

Where Muse Spark aimed to be a lightweight model that could perform at low latency, the Wonder models are larger and said to be more capable, with higher benchmark scores and better results on complex tasks like coding.
A QA checklist for editing, enhancing and publishing a technical podcast
🌍 Dev.to

A QA checklist for editing, enhancing and publishing a technical podcast

Disclosure: I’m the founder of Hilite. These are practical checks you can use with your existing editor; Hilite demonstrations are linked where useful. Technical conversations need careful editing because small cuts can change the meaning of an explanation. Before publishing an interview or developer podcast, review the content and the audio separately. Preserve the source Keep the original recording separate from your working edit. That gives you a reference when a cut sounds...
🌍 Dev.to

Keep Command Drafts Inside Flags the Binary Actually Printed

Command reference pages stay accurate when a human freezes captured help before any model writes surrounding prose. The frozen snapshot should own every flag, default, and exit phrase that a reader might copy into a shell. A model may draft sequencing advice, failure context, and cross-links that sit beside that signed snapshot. A local check should reject any draft that names a flag the captured help never printed. Where command pages drift Help text and narrative pages diverge ...
🌍 Dev.to

Zero-Downtime Database Migrations for High-Traffic Checkout Services

Your checkout service can survive a bad deploy. It cannot survive a bad migration. A migration that locks the orders table for thirty seconds during a lunch rush is an incident, not a maintenance window — and for digital storefronts selling game codes, gift cards, and mobile top-ups around the clock, there is no such thing as a quiet hour to run one. I work on backend systems behind high-volume digital delivery, including online marketplaces for digital goods like Kadokey , where a single ba...
🌍 Dev.to

FAQ: A Free Shell Cannot Borrow Your Runner Tag

I keep hearing one claim in GitLab review threads. A free server cloned the repo, so it counts as a runner. Is a shell with git really a runner? I do not think that claim holds up. A runner is a process GitLab already knows. It has an id, tags, and a job history. A side shell has a checkout and a prompt. Those two objects are not the same thing. Why this FAQ exists I am not posting a speed benchmark here. I am not naming a chip, a quota, or a timer. I want a corrected m...
🌍 Dev.to

OpenAPI to WebMCP in One Command

🚀 Introducing openapi-to-webmcp I built openapi-to-webmcp , an open-source tool to generate WebMCP browser tools from OpenAPI specifications. 📄 Supports JSON and YAML specifications ⚡ JavaScript by default, with TypeScript support 🌐 Browser ES module available via CDN 🛠️ CLI and programmatic API Quick start npx openapi-to-webmcp openapi.yaml The package also provides a browser entry point for generating WebMCP modules from a normalized API objec...
🌍 Dev.to

WebSockets vs SSE vs Long Polling: WebSockets Won. Use SSE Anyway

In the most careful WebSockets vs SSE vs long polling benchmark I've found this year, WebSockets won. A raw WebSocket put 119,692 bytes on the wire for 1,000 events, where SSE needed 131,596. On a Node server, each idle WebSocket held about 13 KB of memory and each SSE connection about 23 KB. I'd still pick SSE (server-sent events) for most of the real-time features I see people build with Socket.IO. The numbers are below, along with why I don't think they change the answer and the nginx and ...
🌍 Dev.to

Read-only by design: how I put a dollar figure on AWS waste without guessing

If you have ever tried to build a tool to find wasted AWS spend, you learn quickly that the API calls are the easy part. DescribeVolumes , GetMetricData , a few paginated List calls, and you are done. The hard part is deciding when you are actually allowed to put a dollar sign next to a finding, because a wrong number is worse than no number. A tool that says you could save about $70 a month and turns out to be off by half teaches the reader to ignore it completely. So I set a strict rule...
🌍 Dev.to

Les secrets d'un tunnel de conversion B2B automatisé via Webhooks

Le tunnel de conversion classique a un trou : tu apprends qu'un lead a cliqué, ou qu'une vente est passée, des heures plus tard — en consultant un tableau de bord que tu as oublié d'ouvrir. Les webhooks ferment ce trou. Voici les trois qui comptent, et comment les sécuriser. Webhook 1 — le signal de clic L'utilisateur tape sur un CTA de paiement. Avant même la redirection, le client envoie un signal : fetch ( " /api/track-click " , { method : " POST " ...
🌍 Dev.to

Hello DEV Community!

Hi! I'm Josue, a freelance developer and sysadmin from Mexico. I work with networks, Linux servers and web systems, and lately I've been building with AI agents. Happy to be here and learn from everyone. 👋
🌍 Dev.to

White paper: agent-ops-check, a free offline check for AI agents

I wrote a 12-page white paper on agent-ops-check , a free Node CLI (MIT license) that reads agent code, prompts and configs and reports risks. It runs fully offline: no SaaS, no account, no network calls. LLM review is optional and uses your own key. npx github:ultimatixarup/agent-ops-check ./my-agent What the paper covers Five needs, each matched to checks: Need Tab Count today Personal data in work channels 1 Crossover 6 personal so...
🌍 Dev.to

TVL Trend Analysis & Liquidity Risk Assessment: Portal

TVL Trend Analysis & Liquidity Risk Assessment: Portal Target Protocol : Portal (TVL: $1670.0M) Portal – TVL Trend Analysis & Liquidity Risk Assessment Date: 12 Oct 2026 Prepared by:  [Your Name], Senior DeFi Security Researcher & Smart‑Contract Auditor 1. Executive Summary Portal is a cross‑chain liquidity hub that aggregates $1.67 B of Total Value Locked (TVL) across Ethereum Mainnet and several Layer‑2 (L2) roll‑ups (Optimism, Arb...
🌍 Dev.to

API Mocking for AI Applications: Complete Guide to APIMock-AI Patterns

API Mocking for AI Applications: Complete Guide to APIMock-AI Patterns Build robust AI applications with reliable API mocking — contract testing, chaos engineering, and production-grade mock servers. Introduction API mocking is critical for AI applications that depend on external LLM APIs, vector databases, and third-party services. This guide covers production mocking patterns using APIMock-AI principles. Why API Mocking Matters for AI WITHOUT MOCKS ...
🌍 Lobsters

What are you doing this week?

What are you doing this week? Feel free to share! Keep in mind it’s OK to do nothing at all, too.
HackerNews

How the AI boom is forcing tech prices higher

Article URL: https://www.abc.net.au/news/2026-09-01/how-the-ai-boom-launched-a-memory-shortage/106893046 Comments URL: https://news.ycombinator.com/item?id=50061301 Points: 2 # Comments: 0
HackerNews

Ask HN: How to slow down AI development speed(also, estimate my ideas, please)

Hello everybody. So, the first: we should abandon likes and go to top-lists instead of them, and say "this is on first place of importance", "this is third place", and finally we will find the medium: "2nd place in average" . To avoid sybil-attacks and get needed money, we may register proofs that we are really person with this e-mail, date and place of birth, first and last name to charity companies - they may reveal data about you like "this is a unique person", "this is 18+ person" etc., whet...
HackerNews

Critical AI Art Collection

Article URL: https://observablehq.com/@dhowe/critical-ai-art-collection Comments URL: https://news.ycombinator.com/item?id=50061368 Points: 1 # Comments: 0
HackerNews

FTX's Old Bitcoin-Mining Assets Are Now Part of the AI Boom

Article URL: https://www.wsj.com/finance/currencies/ftxs-old-bitcoin-mining-assets-are-now-part-of-the-ai-boom-76fe9037 Comments URL: https://news.ycombinator.com/item?id=50061464 Points: 1 # Comments: 0
HackerNews

Ask HN: How to slow down AI development speed(also, estimate my ideas)

Hello everybody. So, the first: we should abandon likes and go to top-lists instead of them, and say "this is on first place of importance", "this is third place", and finally we will find the medium: "2nd place in average" . To avoid sybil-attacks and get needed money, we may register proofs that we are really person with this e-mail, date and place of birth, first and last name to charity companies - they may reveal data about you like "this is a unique person", "this is 18+ person" etc., whet...
HackerNews

Phishing emails are now baiting your AI assistant

Article URL: https://www.malwarebytes.com/blog/ai/2026/10/phishing-emails-are-baiting-your-ai-assistant Comments URL: https://news.ycombinator.com/item?id=50061773 Points: 2 # Comments: 0