Remix 3 is a full-stack web framework that moves away from React, focusing on web platform primitives. It integrates routes, request handlers, and UI components into a single structure, utilizing a forked Preact for the frontend. Unlike previous versions, it emphasizes server ownership of the request lifecycle. Migration from Remix 2 is not straightforward, as it requires changes to existing apps. By Daniel Curtis

Scientists have long assumed that there’s an upper limit to the intensity of the solar winds that reach Earth. New research suggests there’s not—and the implications are alarming.

A payroll and HR software team rebuilt three monoliths into over 120 smaller services over five years, with no dedicated migration budget. Every new feature was built as its own service instead of changing the old ones. The article covers the pull-based migration, the tools that made this possible, how costs were kept down, and the problems the team ran into along the way. By Prashanth Pasham

We kicked off DEV's Big Summer Bug Smash on July 14, and I've been waiting to write this post since...

Keeps your Mac awake, pings you when Claude/Codex is done Discussion | Link

Dear all, our team is using a Claude AI Team plan for more than 1 year already: - we are a normal company, doing normal business, nothing critical - all our bills are paid and we can see them as paid - nontheless, the service is not available for more than one week to us Question: - any other idea to reach out to them than their "Fin AI Chatbot" at support@anthropic.com? - did anybody else had the same experience? If yes, what helped to solve it? Its really frustrating :-( (especially since some

Baidu's Apollo Go autonomous vehicles will be available on Freenow, the mobility network that Lyft acquired in 2025.

Free video feedback tool for editors & clients Discussion | Link

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

AI Visual Production Platform for Fashion Teams Discussion | Link

AWS released a public preview of the GuardDuty investigation agent, which correlates findings, 90-day activity logs, and resource topologies into structured reports with risk ratings, confidence scores, and MITRE ATT&CK classification. It is reachable through the AWS MCP Server, so investigations can run from agentic tooling. Preview quotas cap usage at 10 investigations per account per day. By Steef-Jan Wiggers

Uber's "Zero Growth Stack" focuses on scalable infrastructure that separates capacity growth from business demand, reducing hardware needs while enhancing service scaling. Central to this is garbage collection optimisation. Additionally, generative AI is integrated into development, elevating developer productivity while introducing cost management measures to maintain economic efficiency. By Olimpiu Pop

Temporary storage to share files securely Discussion | Link

I was showing ChefExtract to some friends when it started returning error 404 for specific operations linked to AI. After some embarrassment, I went home to figure out the problem: The model I used for those specific operations had been deprecated. And just like that, my app was failing. But I learned my lesson: relying entirely on one API creates a single point of failure (not rocket science). The easiest fallback mechanism would be to rely on a backup model. But these increase maintenance, and it doesn’t scale well. A better fix relies on AI gateways. What is an AI gateway? An AI gateway is a middleware layer that sits between your application and the LLM providers. Instead of your code calling OpenAI or Anthropic directly, it calls the gateway, and the gateway forwards the request. Concretely, a gateway buys you four things: One API for many providers. Write your code once, switch between GPT, Claude, Gemini, or a local model without rewriting anything. Automatic failover. If your primary provider fails or deprecates your model (as it happened to me), requests reroute to a backup. Users never see a 404. Cost control and caching. Budgets, rate limits, and cached responses for repeated queries, enforced in one place instead of scattered across your codebase. This is especially useful when relying on models from different providers. Observability. Every request is logged, timed, and priced, so “why is our AI bill so high?” becomes a query instead of an investigation. Once again, this is especially useful when dealing with multiple models from different providers. This is exactly what my app needed. Failover alone would have turned my deprecated-model incident into a non-event. Enter Bifrost There are many AI gateways, but eventually I explored one called Bifrost because it is open source and you can see how it operates under the hood. Bifrost is an open-source AI gateway built by Maxim AI and written in Go. Bifrost bridges your app to more than 20 providers: OpenAI,