Urgent.News

What's breaking now, across thousands of outlets.

AI

AI Era: Building Web Sites and Configuring Nginx Reverse Proxy Process

Preface As the title suggests, I recently spent a few days building a company official website, and on top of that, I’ve developed several sub‑sites for the company over the past few months. During the actual deployment, I ran into a few pitfalls—especially regarding domain‑to‑IP mapping—so I’d like to summarise and document them here. To make the overall narrative more coherent, I’ll also…

In the AI era, the process of building a company's official website and configuring an Nginx reverse proxy has undergone significant changes. Web site development can now be broken down into several phases: feasibility study, requirements analysis, prototyping, UI design, coding, testing, and deployment.

Using AI tools, companies can now create prototypes directly based on leadership's requirements, eliminating the need for manual prototyping with tools like Axure. UI designers can then access HTML/Vue/TSX files provided by the designers instead of static image files. This streamlined workflow improves efficiency in the AI era.

The era of separate front-end and back-end teams is gradually fading. Developers can now work together as general-purpose engineers, focusing on their respective functional modules. Instead of spending time on integration, engineers can understand the overall flow and feed information to AI tools for implementation. Self-testing is also performed by engineers before submitting functional modules to testers for formal testing.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at dev.to →

More in AI

The Local AI Ecosystem Is Quietly Becoming Real

Draft #26 — The Local AI Ecosystem Is Quietly Becoming Real Status: 草稿(积压 #26)| 2026-09-02 | 目标平台: Dev.to / Medium | 联动: 方案 A(本地小模型工作流模板)、gig #2(模型选型评估) Three data points in three days tell a story…

  • Apple Mac Mini and Mac Studio demand drives local AI adoption
  • 104GB model runs on 48GB Mac Mini at 12 tokens/second
  • Local model setup on M4 Pro Mac Mini becomes routine infrastructure

What Building a Real App with AI Actually Cost: 36 Parts, Three Seasons, About $17

Three seasons, thirty-six parts, one clinic app — and a meter that ran the whole time. Every part of the ClinicLive trilogy ended with a 💸 box, every retro added its season up, and every number came…

  • Building a real app with AI cost approximately $17.00
  • Expenses broken down into 36 parts, spanning three seasons
  • Season Three had the most expensive single reading at $1.30

Adding an Image-to-Video Button to a Creator Tool

I'm an independent developer designing a small asset tool for content creators. The workflow starts with generating images and choosing one.

  • Developer adds "Generate video" button to image tool
  • Image-to-video uses GPT Image 2 and Seedance 2.5
  • Resulting video showcases dress movement for fashion content

The 2 AM Silent Failure: What Running AI Agents in Production Taught Me About Stability

Most AI agents don't fail the way they do in demos. They fail later, and quieter: a task runs at 2 AM, fails silently, nobody gets alerted, and you discover it the next morning — a full day of work…

  • AI agents often fail subtly in production, not during demos.
  • MeshCtx's system has 3,728 automated tests across Windows, macOS, and Linux.
  • Layered memory approach with 17 regions prevents forgetting in AI agents.

More from Friday 4 September →