标签：#IDE

These WIRED-tested ebook readers let you take your library anywhere.

If you're someone who needs to (or likes to) take their work on the go, a portable monitor will make a huge difference. These are my favorite that I tested.

https://dsa-life-simulator-frontend.vercel.app"I made a free tool to make DSA practice feel like an RPG — would like feedback from this community"Been grinding DSA for months and it never felt fun. So I built something. What it does: 🏟️ Real-time 1v1 Arena battles against other devs 🧪 Lab to create and publish your own challenges 🏘️ Community Hub to attempt others' challenges 📖 AI writes your weekly coding journey as a life story 🎮 XP, credits, levels, leaderboards Stack: React + Tailwind + Firebase + Node.js + Socket.IO + Groq AI Still early — would genuinely love feedback from people who've felt the pain of traditional DSA prep.

Set Up Your Own ChatGPT: Ollama + Open WebUI for Data That Never Leaves Home As artificial intelligence models rapidly integrate into our lives, privacy concerns are growing in parallel. Especially for companies or individuals working with sensitive data, sending information to cloud-based services can pose a serious risk. At this point, setting up your own local Large Language Model (LLM) infrastructure offers a great solution. In this guide, I will explain step-by-step how to set up your own chat interface using tools like Ollama and Open WebUI, ensuring your data never leaves your system. This approach allows you to both reduce costs and maximize your data security. This setup is particularly important for those like me, with a background in enterprise software development, who believe that data flows should always follow the most secure path. In the past, working on a production ERP, transferring supply chain data to external systems without anonymization could lead to serious security vulnerabilities. This is where local LLM solutions come into play. Why You Should Set Up Your Own Local LLM While cloud-based LLM services are incredibly convenient, they come with some fundamental drawbacks. Most importantly, every piece of data you input is potentially sent to the service provider's servers. This can be unacceptable, especially when dealing with financial data, patient information, trade secrets, or sensitive code in your personal projects. By setting up your own local LLM, you eliminate these risks. In recent months, while working on my side project, a financial calculator, I felt the need to use an LLM for complex financial analyses. However, the details of these analyses could not be leaked externally. This situation led me to search for a solution where I could keep my data under my own control. Ollama and Open WebUI emerged as the most practical and powerful duo in my search. ℹ️ Data Privacy and Control A local LLM solution gives you full control over where

I Had 6 Side Projects Open in One Browser Window. Here's What That Was Costing Me. I counted once, on a normal Tuesday. 41 tabs, one window, six different side projects. A repo here, a localhost there, a Stripe dashboard, two Notion pages, a half-read Stack Overflow thread I was scared to close. I was using a tab manager to hold it all together. Save the session, restore it later, feel organized. It worked, in the sense that nothing got lost. But something was off, and it took me a while to name it. The tab manager was keeping my tabs. It was not keeping my projects. And the gap between those two things was quietly costing me. The number that bothered me I did a rough audit of one week. Every time I sat down to work on a project, I had to reconstruct where I was. Which task was next? When was that thing due? Where did I save that reference last month? The tabs were there, but the answers were not in the tabs. I timed it loosely. Five to ten minutes of "wait, where was I" at the start of every session, multiplied across six projects, multiplied across a week. Call it an hour, maybe more, spent just getting back to the surface before any real work started. An hour a week is not a catastrophe. But it was an hour spent doing something a tool should do for me, and the friction was enough that I started avoiding the projects with the most tabs. The cost was not really the time. It was that the heaviest projects felt the worst to open, so I opened them least. Why the tab manager could not fix this Here is the thing I had to admit. A tab manager is excellent at one job: saving and restoring tabs. It is not built to know anything about the project those tabs belong to. A tab is a URL. A project is a URL plus: A task that is due Friday A reference I saved three weeks ago and need again now A subscription renewing on the 14th A sense of what I actually shipped last time I worked on it When all of that lives outside the tab manager, in a to-do app, a notes file, my memory, rest

Unravel the tangled world of cords and find the ones you need to charge your gadgets and transfer data.

I’ve tried every single Kindle. Here’s how Amazon’s ebook readers stack up.

I have been an audio reviewer for 20 years. My time as a freelance headphones panelist at Wirecutter, and the multitude of reviews I’ve written for sites like Reviewed, Digital Trends, IGN, and now The Verge, have given me the chance to listen to hundreds of earbuds. Some were truly excellent, and some were pretty […]

Kit out your Apple tablet with our favorite stands, cases, keyboards, and styli.

Laptops for college should be portable, offer long battery life, and remain reasonably affordable. Based on testing hundreds of laptops, these are my top picks.

The 48-team World Cup is not the only historic soccer event this year. Four titans are vying for control of video game soccer in the fiercest battle the industry has ever seen.

IBM and HashiCorp have announced new LDAP secrets management capabilities in IBM Vault Enterprise 2.0, introducing a redesigned architecture to manage LDAP credentials, support password rotation, and automate the identity lifecycle. By Craig Risi

These bird feeders come with cameras and connected apps to let you see and learn about the birds in your neighborhood.

This article was originally published on aicoderscope.com TL;DR : Gemini 3.5 Flash went GA on May 19, 2026 and costs 50% less than Claude Sonnet 4.6 on input tokens ($1.50 vs $3.00/M). It generates code at ~284 tokens per second — roughly 4.7× faster than Sonnet 4.6. Cursor already lists it natively; Cline needs one extra config step. The trap: Flash's default thinking level is "medium," which is slower and pricier than "low," the setting Google specifically tuned for coding and tool-use loops. Gemini 3.5 Flash Claude Sonnet 4.6 DeepSeek V4-Flash Best for Fast agent loops, context-heavy analysis Complex refactors, instruction fidelity Cost-capped high-volume tasks Input / Output per 1M tokens $1.50 / $9.00 $3.00 / $15.00 $0.14 / $0.28 Context window 1M tokens 200K tokens 1M tokens Terminal-Bench 2.1 76.2% — — Output speed ~284 t/s ~60 t/s — Max output per request 65,536 tokens 64K tokens 64K tokens The catch Output at $9/M erodes savings on code-gen 15× pricier output than Flash No vision, MIT-licensed Honest take : Use Gemini 3.5 Flash with Cline for multi-step agent tasks where round-trip latency compounds and context windows run large. Stay on Claude Sonnet 4.6 when you need a hard refactor to land perfectly on the first try — Sonnet's 79.6% SWE-bench Verified score still leads Flash's on correctness benchmarks. The cost math that does and doesn't work Gemini 3.5 Flash charges $1.50 per million input tokens and $9.00 per million output tokens. Against Claude Sonnet 4.6 at $3.00/$15.00, the input side is a genuine 2× saving. The output side is almost the same story: $9 vs $15 is 40% cheaper per generated token. Run the numbers on a typical Cline coding session: 8 tool calls, reading 12 files (roughly 20,000 context tokens), generating 500 lines of code output (~7,000 output tokens). Sonnet 4.6: (20K × $3 + 7K × $15) / 1,000,000 = $0.165/session Gemini 3.5 Flash: (20K × $1.50 + 7K × $9) / 1,000,000 = $0.093/session That's 44% cheaper per session. At 50 sessions a m

With Father's Day on the horizon, happening June 21st, it's time to start thinking about what kind of gifts you want to buy for the fathers you care about. You know your dad best - he may be a man of simple pleasures who wants nothing more than to share a meal or drinks with […]

We've all been there. Your first encounter with authorization looks something like this: if ( user . role === " ADMIN " ) { // allow access } It works. It's simple. It ships fast. And then, three months later, your application has grown, requirements have shifted, and you're staring at a codebase where authorization logic is scattered everywhere—APIs, services, UI components—like a puzzle that nobody remembers how to solve. The truth is: this approach doesn't scale. Not because it's inherently flawed, but because it conflates two very different concepts that should never be mixed. The Core Mistake: Confusing Identity with Capability Here's the problem we're actually trying to solve. As your application grows, you inevitably end up writing code like this: if ( user . role === " BRANCH_MANAGER " || user . role === " SYSTEM_ADMIN " ) { // allow access } Then a stakeholder asks: Can we create a hybrid role? Or: We need Auditors who can export reports but not edit records. And suddenly your role logic explodes into an unmaintainable mess. The fix isn't adding more conditions. The fix is understanding that roles and permissions answer fundamentally different questions. Roles Define Identity Roles are categories of users. Examples: SYSTEM_ADMIN CLIENT BRANCH_MANAGER AUDITOR Roles answer: Who is this user? They establish high-level authorization boundaries. Examples: Staff Portal vs Customer Portal Internal Admin Area vs Public Application Employee Features vs Client Features Think of roles as identity labels . Permissions Define Capability Permissions represent atomic actions. Examples: LOAN_APPROVE USER_DELETE REPORT_EXPORT ACCOUNT_EDIT Permissions answer: What can this user actually do? Your application should not constantly ask: What role are you? Instead, it should ask: Do you have permission to perform this action? Because: Users have Roles Roles contain Permissions Code checks Permissions That distinction changes everything. Always Decouple Identity from Capability T

The FTX co-founder is serving a 25-year sentence, doled out in 2024.

Two weeks ago I shared a collection of 6 financial calculators. The response was incredible, so I kept building. Today, fi-calc.com has 25 completely free calculators covering every major personal finance need: 🏠 Housing • Mortgage Calculator (full PITI + amortization schedule + pie chart) • Rent vs Buy Calculator • House Affordability Calculator • Refinance Calculator 💰 Investing & Retirement • Compound Interest Calculator • Investment Return Calculator • Future Value & Present Value Calculators • ROI Calculator • Retirement Savings Calculator • 401(k) Calculator • FIRE Calculator (Financial Independence) 💳 Debt & Loans • Loan Comparison Calculator • Auto Loan Calculator • Student Loan Calculator • Credit Card Payoff Calculator • Debt Payoff Calculator (Avalanche method) 📊 Everyday Finance • Budget Planner (50/30/20 rule) • Savings Goal Calculator • Inflation Calculator • Salary & Take-Home Pay Calculator • Net Worth Calculator • Currency Converter (15+ currencies) • CD Calculator • Sales Tax Calculator ✨ Tech Stack • Pure vanilla HTML/CSS/JS — no frameworks • Chart.js for animated interactive charts • Responsive design (mobile-friendly) • All calculations run client-side in your browser • No data collection, no accounts, no cookies 🔗 Give it a try: fi-calc.com The entire site is free and open. I built it because I was tired of calculator sites with paywalls, signup walls, and bloated ad experiences. Would love feedback from the community! What other calculators should I build next?

Three years ago we had our first real outage. Six hours of downtime. Thousands of angry users. Multiple executives on the call. Here's what we did right, what we did wrong, and what we'd do differently. What we did right 1. Communicated immediately. The moment we knew we had a problem, we updated the status page and emailed our biggest customers personally. Not when we had answers. When we had a question. 2. Had a single incident commander. One person making calls. Not a committee. When the CEO tried to direct technical work, the IC politely rerouted and told her where her help was actually needed (talking to customers). 3. Took care of our people. During hour 4, I ordered food. During hour 5, I forced the primary engineer off the call for 20 minutes to walk outside. Long incidents destroy people. You have to feed them and force them to rest. 4. Wrote it down as we went. We had a shared doc with a live timeline. When the post-mortem came, we had every decision captured. What we did wrong 1. Tried to fix the root cause during the incident. For the first 2 hours, we were digging into why the database was struggling. We should have been mitigating (rolling back) first. 2. Let too many people 'help.' By hour 3, we had 12 engineers in the call. Half of them were useless. The IC should have kicked people out sooner. 3. Gave optimistic estimates. 'We'll be back in 30 minutes.' We were not back in 30 minutes. That miscommunication was worse than saying 'unknown.' 4. Didn't prepare the executive communication. The CEO had to answer customer questions in real time with no script. We should have drafted talking points for her after hour 1. What we'd do differently Mitigate first, investigate second. Always. Cap the number of active engineers at 4 during an incident. Others go on standby. Default to 'unknown' for estimates. Only give a number when we're sure. Assign someone explicitly to 'executive liaison.' Their job is to keep the C-suite informed without interrupting the tec

After 16 weeks of daily use, our WIRED testers saw visible hair regrowth with these red-light therapy devices.