AI 资讯
The TCL Note A1 is a kinder, gentler tablet
Without thinking, I scribbled over what I'd just written. It's what I would have done if I was writing with pen and paper. But I didn't have a pen in my hand; my canvas was an LCD and the letters on my page were just pixels. Score one point to the TCL Note A1. TCL's […]
AI 资讯
Greenworks’ MaximusZ electric riding mower has five motors and a few compromises
The current EV market is flush with variety. I've driven single-motor economy-minded machines, dual-motor EVs with all-wheel drive, tri-motor vehicles that dial up the performance stakes, and even wild quad-motor performance cars, like the Rimac Nevera. But this is the first time I've ever driven a five-motor EV, one with the agility and speed to […]
AI 资讯
Optoma GT2400HDR Review: Ace Projector for Golf Simulation
The Optoma GT2400HDR laser projector is great for setting up a driving range in your living room, but mediocre video quality makes it less appealing for home entertainment.
产品设计
Birdfy Nest Duo Review: My Own Private Nature Documentary
With two cameras and built-in climate sensors, the Birdfy Nest Duo let me watch an entire nesting season unfold.
AI 资讯
Presentation: Prompt to Prod: Engineering an Autonomous SDLC at Scale
Andrew Swerdlow shares how Roblox scales autonomous software development from prompt to production. He discusses building robust security sandboxes, extracting institutional knowledge via code review exemplars, updating engineering infrastructure, and redefining productivity metrics around feature velocity and long-running AI turns to achieve trusted, automated deployment at scale. By Andrew Swerdlow
AI 资讯
I Built AgentCheck Because “The Coding Agent Said Done” Wasn’t Enough
I Built AgentCheck Because “The Coding Agent Said Done” Wasn’t Enough AI coding agents are getting surprisingly good at writing code. I use them regularly, and they can handle increasingly large tasks: refactoring code, adding features, updating dependencies, modifying configuration, creating migrations, and touching files across an entire repository. But I kept running into the same problem after the agent finished: How do I independently verify what it actually changed? The agent usually gives me a perfectly reasonable summary. Something like: Done. Implemented the requested changes, updated the tests, and cleaned up the affected code. Useful? Absolutely. Enough for me to commit without checking? Not really. So I built AgentCheck . The Problem Happens After “Done” After a coding agent finishes a task, I still find myself manually checking things like: Which files actually changed? Were any files deleted? Did configuration change? Were dependencies added or updated? Was a database migration introduced? Did anything that looks like a secret appear? Were related tests changed? Is the overall change set larger or riskier than expected? Of course, Git already gives us the raw information. I can run: git status git diff git diff --stat Then inspect individual files. And I still do that. But once coding agents become part of your normal workflow, repeating the same verification process after every task starts to feel like something that should be structured. That was the idea behind AgentCheck. What AgentCheck Does AgentCheck creates a trusted checkpoint before your coding agent starts working. Then, after the agent finishes, it compares the current Git-visible repository state with that checkpoint. The basic workflow is deliberately small: agentcheck start Then let your coding agent work. That can be: Codex Claude Code Cursor another AI-assisted coding tool or technically even a human When the work is finished: agentcheck AgentCheck then produces four sections: Changes
科技前沿
Asus ROG Swift RGB Stripe OLED Review: Clarity King
The Asus PG27UCWM brings a new sub-pixel layout to the world of OLED gaming monitors, and in my testing, I appreciated the improvements it brings to the table.
AI 资讯
Saily Ultra eSIM Premum Plan Review: Packed With Perks
For uninterrupted service as you country-hop, the Saily Ultra eSIM works well and comes with plentiful perks. It’s pricey though.
开发者
An okay laptop with 16GB of RAM is better than a nice laptop with 8GB, and this $520 HP OmniBook proves it
Laptop prices are out of whack. $500 used to get you a tolerable laptop, and $900 got you a really good one. They often had similar CPU, RAM, and storage options because that stuff was comparatively cheap; the difference was often in build quality and screen rather than power. But RAMageddon has thrown everything off. […]
AI 资讯
AI Code Review at Scale: LinkedIn's Multi-Agent Approach
At LinkedIn's scale, relying solely on human reviewers or simply putting an off-the-shelf AI reviewer in front of GitHub is not an effective way to manage PRs. To address this, LinkedIn engineers built a multi-agent AI code review platform that understands the organization’s coding context, treats code review as production infrastructure, and minimizes hallucinations and low-signal feedback. By Sergio De Simone
科技前沿
Nyrius Phoenix Home True 4K60 (2026): A Solution for Cord Clutter
The Nyrius Phoenix Home True 4K60 can wirelessly transmit games, TV shows, movies, and more across your home (even through walls).
开发者
RayNeo is going both minimalist and maximalist with its latest AR smart glasses
RayNeo's latest AR smart glasses are going for very different audiences: The very discrete, and the very nerdy.
AI 资讯
Google Pixel 11 Review: Minor Upgrade
Incremental improvements fail to generate much excitement, but Google’s Pixel 11 is still an accomplished Android phone.
产品设计
This tiny guitar amp is the most unhinged distortion pedal I’ve ever used
Is Amp Crash a guitar amp or a guitar pedal? Yes. Death By Audio's latest is, in fact, both. While it's in a guitar pedal enclosure, Amp Crash is actually a tiny 3-watt amp hooked up to a 2-inch speaker. You can even connect an external speaker if you want. This isn't a digital re-creation […]
AI 资讯
How Code in the Age of Artificial Intelligence Becomes Write-Only and Disposable
Artificial intelligence (AI) makes all code write-only,. It’s too dense to read, and tests define the behaviour and become the documentation. Code is also disposable; it becomes easier to rewrite than to debug. Humans can't review AI-generated code at scale. Intent decouples from implementation; developers should focus on creativity. By Ben Linders
科技前沿
Poolease X1 Pool Robot Review: How Bad Can It Be?
The Poolease X1 can collect leaves from the pool floor, but dirt, silt, walls, and steps are all beyond its pay grade.
AI 资讯
The Audi S6 Sportback E-tron proves that sedans still matter
Last year, Audi announced that it gave its all-EV-by-2033 plan the boot, and instead will offer a mix of gasoline, hybrid, and electrified propulsion. There's no doubt still some uncertainty among bigger automakers - especially those under the Volkswagen Group umbrella - when it comes to such a (now prior) commitment. Even so, what it's […]
AI 资讯
Google Pixel Watch 5 Review: More Health, More AI
With smarter gym tracking, new health alerts, and offline Gemini, the Pixel Watch 5 fine-tunes a winning formula—for a price.
开发者
Google Pixel 11 series review: Is the magic fading?
Google's new Pixels make some compromises but still manage to be good phones.
开发者
Google Pixel 11 Pro and Pixel 11 Pro XL Review: Smart Software, Small Upgrade
Google’s new voice typing is pure magic, but subpar gaming performance and a useless rear LED keep these flagships from true greatness.