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AI 资讯

My go-to Kindle is back at its best price yet for Prime Day

If you’ve been thinking about picking up a Kindle, Amazon’s Prime Day sale is a great time to do it. The retailer is currently offering steep discounts on several of its e-readers, including the latest Kindle Paperwhite with 16GB of storage and ads, which is down to $124.99 ($35 off) at Amazon. If you’d prefer […]

2026-06-23 原文 →
开发者

These are the best smart home deals this Prime Day

Every Prime Day is a good day to make your home smarter, as deals on connected gear proliferate not just on Amazon but all across the web. And this Prime Day is no different. I sifted through hundreds of offers to find the ones that actually stand out — only the deepest discounts on the […]

2026-06-23 原文 →
AI 资讯

AI is cursing renters with the promise of impossible homes

Joyce, a native New Yorker, didn't think finding her first solo apartment in the city would be easy. But she also didn't think it'd be "hell." After looking at a lot of tiny, overpriced places she described as "shitholes," Joyce found her dream apartment: a reasonably priced studio in Manhattan. "It was big and airy, […]

2026-06-23 原文 →
创业投融资

The Apple Watch SE 3 is just $199 for Prime Day

The Apple Watch SE 3 is at an all-time low of $199, making the sleeper hit of last year’s Apple Watches an even better value. While the Series 11 and Ultra 3 were iterative updates, the SE 3 was a wide-ranging glow-up that added an always-on display, gestures like double tap and wrist flick, a […]

2026-06-23 原文 →
AI 资讯

Google invests in A24 to build AI movie tools

Google's DeepMind AI lab is teaming up with A24 to develop new movie production technologies that aim to help future filmmakers "expand their storytelling possibilities." As part of this new research and development collaboration, The Wall Street Journal reports that Google is investing "around $75 million" into A24, marking the first time the search giant […]

2026-06-23 原文 →
AI 资讯

Here’s how you can reserve a Steam Machine

The Steam Machine is here, but getting one is a little complicated. Valve is taking preorders using a reservation system, which is intended to make the process more fair and harder for bots to exploit. However, it's a bit different than the $5 reservations Valve used for the Steam Deck. Starting today, you can sign […]

2026-06-23 原文 →
开发者

Read this before you vibe-code another app

Bob Starr was delighted with his vibe-coded website. "Boomberg" showed how much US tax money is going to tech companies, and Starr launched it online immediately after making it. It wasn't until months after the site went live that he realized there was a problem: a hidden SQL injection risk. It could've left the site […]

2026-06-22 原文 →
AI 资讯

Top AI Coding Agents and Development Platforms in 2026: Atoms, Devin, Windsurf, Cursor, Warp, and More Compared

2026 AI Coding Agents Are Making Developers Forget How to Code: Why the Convenience Trap Threatens Innovation As AI‑driven platforms like Atoms, Devin, Windsurf, Cursor, and Warp reshape software engineering, the real cost may be a gradual erosion of core programming fundamentals. The latest MarkTechPost comparison shows AI coding agents moving from novelty to mainstream. Teams report faster feature cycles, fewer lines of manual boilerplate, and a shift toward intent‑first workflows. Yet beneath the productivity headlines lies a subtle trade‑off: every hour spent letting an agent write code is an hour not spent exercising the mental muscles that let us reason about edge cases, optimize performance, or invent novel algorithms. The Rise of Intent‑First Development Modern agents excel at turning a natural‑language description into a runnable diff. Atoms uses multimodal reasoning to interpret UI sketches; Devin can autonomously open pull requests after a high‑level prompt; Windsurf lets engineers edit across files with conversational commands. This paradigm reduces the cognitive load of syntax hunting and lets engineers focus on what the software should do, not how to type it. Measuring the Productivity‑Skill Trade‑off Data from early adopters shows a 38% cut in boilerplate typing and a 22% boost in sprint velocity. However, internal surveys reveal a 15% drop in self‑reported confidence when debugging low‑level concurrency bugs, and a 20% increase in reliance on agent‑generated explanations rather than personal code walkthroughs. The numbers suggest a growing dependency that mirrors the calculator effect seen in mathematics education. Second‑Order Shifts: From Craftsmanship to Orchestration As routine typing fades, engineers spend more time validating AI output, refining prompts, and orchestrating multi‑agent pipelines. Traditional code reviews evolve into “prompt reviews,” where the gatekeeper judges whether the AI captured the business intent. New roles—AI Interaction

2026-06-22 原文 →