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Is this $450 laptop from an unknown brand too good to be true?

Finding a good laptop under $500 was hard enough before RAMageddon. They nearly always had cheap hardware and underpowered, often outdated chips. That's what made the MacBook Neo so disruptive: It offered great build quality and good-enough performance starting at $599. Windows laptops couldn't touch it. Even though it's gone up to $699, it's still […]

2026-08-08 原文 →
AI 资讯

Nitecore’s latest power bank is the lightest and most compact yet

There's two things you should know about me, your intrepid reviewer: I hate the feature creep associated with modern power banks, and I love shaving grams off the gear I carry when backpacking, bikepacking, and trail running. So imagine my delight when Nitecore released a new generation of its ultralight NB10000 battery. After a few […]

2026-08-08 原文 →
AI 资讯

The only instant cameras worth your money

There’s something magical about using instant cameras that smartphones can’t match. You can capture a moment, print it out, and then give the photo as a gift or hold onto it. Image quality won’t be all that good, but imperfections are part of the allure. We tested instant camera models from popular brands and landed […]

2026-08-08 原文 →
AI 资讯

Rootly Drops Small PR Rule as Agentic AI Changes Code Review Economics

Incident management platform provider Rootly has published an account of its decision to drop its long-standing small pull request rule, arguing that the practice no longer serves its purpose now that AI agents generate most of its code. The company describes a shift from measuring PR size to assessing blast radius, with feature flags and rollback capability taking precedence over line counts. By Matt Saunders

2026-08-07 原文 →
AI 资讯

I built a tool that roasts your code with regex — no AI involved

The problem In 2026, devs spend 11.4 hours a week reviewing AI-generated code — more time than they spend writing it. We're burning cycles fixing bugs our own AI tools wrote. I started calling this "AI debt": the maintainability tax that piles up when nobody's actually reading the code the assistant just spat out. I wanted a fast, brutal way to see how much debt was hiding in a file before I even opened a PR. What I built Roast My Code — paste a code snippet, get an AI Debt Score (0–100) and get roasted for your sins. 118 regex patterns across 8 languages (JS/TS, Python, Go, Rust, Java, PHP, C++) Scores broken into Readability, Structure, Error Handling, Safety, and Style Code metrics: nesting depth, duplication %, comment ratio, avg line length Three brutal one-liner roasts + concrete fixes for each issue found The twist: zero AI. No API calls, no LLM, no backend. Everything runs client-side with regex pattern matching. Your code never leaves your browser. Why regex, not AI Honestly — irony. A tool built to call out AI slop shouldn't itself be another wrapper around GPT. Regex is also just... faster. No API latency, no cost, no rate limits, no "please wait while I analyze your code" spinner. You paste, you get roasted in under a second. It's not going to catch everything a proper linter or an LLM code reviewer would. That's not the point — it's a gut-check, not a static analysis suite. A taste of the roasts javascript var API_KEY = "sk_live_51H8xJ2kL9mNpQrStUvWxYz..."; if (a == 1) { if (b == 2) { if (c == 3) { x = eval(a + b + c); } } } 🔒 is that a hardcoded credential? in 2026? we need to talk. your teammate rewrote this on a Sunday. FIX: Move it to an environment variable or secret store, then rotate the credential. 🎆 eval(). we don't need to say more. you know what you did. this is the part reviewers skim past. FIX: Replace eval with a lookup table, JSON.parse, or an explicit parser. Try it 🔗 Live app 💻 Source on GitHub — MIT licensed, PRs welcome Paste your wor

2026-08-04 原文 →