标签：#review

A developer added an AI reviewer to a small Node and React project expecting an easy win. At first, the comments looked useful. Then the reviewer started repeating style complaints, commenting on code that had already changed, and missing a misplaced null check that crashed the application in staging. The team still had to perform a complete human review. That experience, shared in a public DevOps discussion, captures the real question engineering leaders should ask before adding an AI reviewer to every pull request: Did the reviewer remove work from the team, or did it create another thing the team had to review? The problem is not that AI review never works Developers report genuinely useful results too. In one Experienced Developers discussion, engineers described AI reviewers catching privacy leaks, incorrect data-flow assumptions, and logic errors that human reviewers had missed. In the same discussion, another engineer said their review bot was useful but produced plausible, inaccurate comments about one-third of the time. These are anecdotes, not a benchmark. But together they explain why the debate feels confused. AI review is not simply good or bad. Its value depends on the codebase, the context available to the reviewer, the kind of issue being reviewed, and how much verification its output requires. A tool can catch one subtle bug and still make the overall review process slower. It can also say nothing on several pull requests and then save a team from a serious failure. Counting comments cannot distinguish between those outcomes. Comment volume measures activity, not value GitHub says Copilot code review has completed more than 60 million reviews. Its definition of a good review has changed as that volume has grown. The team says it moved from optimizing for thoroughness to optimizing for accuracy, signal, and speed. GitHub reports actionable feedback in 71% of Copilot reviews. In the other 29%, the reviewer says nothing. That silence is intentional: if

Toyota's everyday small SUV should rarely require trips to the gas station.

This remarkably vivid home projector has deep inky blacks, without a five-figure price tag.

Projectors are adopting RGB backlighting, the hottest tech from the world of TVs. This large but vivid projector is a great option for summer movie nights.

Last week an AI-generated GPU kernel ran 18.71× faster than an optimized PyTorch baseline. The model—Fable 5—didn't just edge past the human implementation. It lapped it. Claude Opus 4.8 reached 14.4×. GLM-5.2 hit 11.14×. GPT-5.5 managed 4.34×. Fable's kernel was in a different tier entirely. The exciting read: AI is starting to improve the low-level machinery that makes AI itself cheaper and faster. Specialized performance work that once required rare expertise just got dramatically easier to explore. The uncomfortable read: what happens when the best implementation is also the one nobody on your team would have written—or can fully explain? That question is about to land on every engineering team that ships AI-generated code. The Benchmark Problem A benchmark shows the kernel ran fast under tested conditions. It doesn't show: How it behaves across different GPU hardware How it handles numerical edge cases What happens under months of production changes Whether it degrades gracefully when inputs shift The person who wrote it can't answer these questions either. The AI generated this code through a process that doesn't leave a reviewable chain of reasoning. There's no commit message that says "I chose this approach because X." So the reviewer's job just got harder—not easier. The Real Shift I've been watching this pattern across engineering teams this year. The argument is moving from "can AI generate working code?" to "can our org absorb generated code without breaking quality, morale, or judgment?" The GPU kernel story makes the tension concrete: One side says the code ran, it was measured, it won. Stop moving the goalposts. The other side says somebody still has to know where it can fail and take responsibility when it does. Both are right. AI can make implementation cheaper while making proof more expensive. Senior engineers may write less code but spend more time designing adversarial tests, checking assumptions, planning rollbacks, and deciding whether an impr

Both 8BitDo and GameSir announced tiny gamepads designed to turn smartphones into Game Boy-inspired handhelds at CES 2026. GameSir released its Pocket Taco months ago, but the longer wait for 8BitDo's FlipPad has been well worth it. While the Pocket Taco may be a better fit for some players and devices, the FlipPad is a […]

XGIMI's Eflin Flip 4K is a portable, stylish projector that provides outstanding image quality at a great price.

But with great power comes a great price.

When I first told you about the "OLED Xbox Ally X of my dreams," I had to curb my enthusiasm a bit. That's partly because I hadn't yet tried the handheld myself, and partly because Asus was only planning to sell it bundled with a pair of expensive AR glasses! I'm happy to say both […]

This isn't a wish for the internet to stop — just a moment to imagine what it'd mean to breathe without it. Not everyone, but a huge percentage of the world now relies heavily on the internet. What if it were unavoidably shut down for just 24 hours? How long would those hours actually feel — and how much would they reshape our daily routines? I see the irony everywhere already. The moment a page hangs, I instinctively dial a USSD code to check my data balance. I know someone who pings google.com just to see if he's still connected — using the internet to check whether the internet is still there. The first hour would probably be spent staring at the network icon, refreshing pages, waiting for life to resume. That's when we'd notice how much of the day quietly depends on the cloud: deliveries stall, payments freeze, navigation disappears, businesses pause. Millions would discover just how many invisible gears keep everyday life moving. Then the smaller shifts. Looking at the sky to guess the weather instead of opening an app. Realizing the only people who "exist" are the ones actually in front of you. Sitting in a room where the loudest sound is the silence of the feed. Maybe one day, staying offline will be a skill of its own. Have we gotten so used to consulting the network before taking a step that we've stopped trusting our own judgment? Perhaps 24 hours of silence wouldn't just be an outage. It would be a reminder — that before the cloud, there was memory. Before search engines, there was curiosity. Before notifications, there was presence. And before constant connection, we still knew how to walk on our own. If you asked me, What cloud or internet service would you miss most for a day? For me, I don't remember the last time I went 48 hours without Gemini.

The RingConn 3 actually looks like real jewelry, not a wearable -- but its fitness tracking and headache detection features are disappointing.

It’s not the upgrade Ring 4 owners have been waiting for, but it’s easily the best smart ring Oura has ever made.

Siri has been on the Apple Watch since day one, though I'm usually hard-pressed to find people who actually make good use of it. It's kind of just… been there - mostly as a way to set timers when my hands are full. But after playing around with the watchOS 27 developer beta, I get […]

iOS 27 escaped the developer world today with the launch of the first public beta. I've been testing the new operating system since early June, looking for quirks and seeing if it can live up to the hype Apple promised in the keynote. This year's iOS upgrades are what one might call a Snow Leopard […]

Swimming against the iGarden Swim Jet X Pro 10’s artificial current is a real workout, even if it doesn’t quite replace a full-size lap pool.

Matmos are an incredibly accomplished duo between their own solo records like the masterpiece A Chance to Cut Is a Chance to Cure and production classic Bjork records like Vespertine. But Drew Daniel, one half of Matmos, is fiendishly prolific. When he's not literally dreaming up new viral music genres, he's also putting out records […]

If you're reading an Oura Ring 5 review at The Verge, you likely fall into one of two camps: newcomers looking for a smartwatch alternative, or Oura users pondering an upgrade. In the case of the former, this is a great casual health tracker and the best smart ring on the market - but not […]

The glasses are targeted at people who might be constantly in meetings, giving presentations, and traveling to countries where different languages are spoken.

A roundup of recent reviews published by Engadget.

Roleplaying games are often defined by excess. Storylines that span dozens of hours, side quests so big they could be their own game, massive worlds that require complex maps to explore, and casts so big you start forgetting character names. That's part of what makes these games feel like epic adventures, but it can also […]