Shark PowerDetect Speed Review (2026): Light and Powerful
Shark’s new PowerDetect Speed is lighter and more affordable than the original, but still managed to ace most of my vacuum tests.
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Shark’s new PowerDetect Speed is lighter and more affordable than the original, but still managed to ace most of my vacuum tests.
It's as much about grounded characters and well-timed emotional beats as CGI-filled action extravaganzas.
This affordable, portable projector doesn’t try to be a cinematic marvel, but it’s fun to use.
Lexus' latest luxury sedan is priced right and drives great, but feels like it's built around outdated EV tech.
I’m an omnivore. Purple Carrot’s vegan meal kit offers some of the best cooking I’ve seen from any meal kit, with or without meat.
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
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A roundup of recent reviews published by Engadget.
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Dropbox has integrated Model Context Protocol (MCP) with its internal knowledge platform, Dash, to surface security design context during AI assisted code reviews. The system retrieves threat models and security requirements for pull requests, helping reviewers validate implementation against design intent. An InfoQ Q&A explores the architecture and key lessons learned. By Leela Kumili
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The refurbished railway station in London I entered last week had none of the usual signs of being a tattoo studio. The walls were devoid of any art, and there were no reclining chairs or massage tables in the room. The only tattoo gun on the premises sat in a display case instead of buzzing […]
The company’s first headphones look very stylish and have great tactile features, but underwhelm on sound quality.
SJY’s Zeph are brilliant wired headphones, using flippable earcups for two different takes on your favorite music.