开源项目
Apple’s rumored ‘Upgrade’ program brings lease-to-own pricing for iPhones, Macs, and iPads
As component and RAM shortages drive prices higher, Apple is reportedly launching an "Apple Upgrade" program for leasing new devices. According to Bloomberg's Mark Gurman, it will work similar to a car lease, with options to upgrade to a new device early, or keep or return the device at the end of the lease. Gurman […]
AI 资讯
Twitch will let parents stop their teens going live
Twitch is giving parents more control over how their children are using the streaming platform, including the ability to block them from broadcasting entirely. Parental controls are now available that allow guardians to link Twitch accounts with their 13- to 17-year-old children, providing account management features and a weekly email summarizing their teen's activity, including […]
AI 资讯
Building a Production AI Pipeline for a UK FinTech Client at Tittri — What Actually Happened
After five years of shipping features at Tittri, the team gave me a piece of feedback that stung a little: I was good, but I only ever built what I was asked to build. And we delivered, end to end, every week. From dashboards to multi-step workflows to third party integrations, all of it to make dense workflows understandable. Somewhere along the way I'd become all about business critical web apps, where the frontend is not just visual, it's how people execute operations reliably. But it just wasn't enough for me. So in January 2026 I stopped waiting to be asked, and pitched an AI integration into a UK-based fintech client's product, one that handles real business loans. When I finally presented the idea to the team and the client, after enough brainstorming and planning and identifying the best way for the brokers to benefit from it, expectations rose. No prior AI integration experience, no matching tutorials, real users, real data, real money. Then I had to actually build it. What is the client and why AI The client is one of the UK's pre-eminent business finance brokers and comparison services that combines advanced technology with a team of finance experts to help small and medium-sized enterprises (SMEs) and their advisors find, compare, and apply for the most appropriate and affordable funding options from across the entire market. The client's B2B product is a commercial finance brokerage SaaS, where brokers manage deals, calls, emails, documents, lenders, AIPs (Agreement In Principle), credit/KYC, corporate structures, properties...etc. The brokers use the SaaS to run the whole lifecycle of a deal, and before AI every single step of it was manual. A typical deal goes like this: An enquiry comes in by call or email, something like "my client needs £400k to buy out a GP partner". The broker gets on a discovery call that can run 30–90 minutes, writes up the notes afterwards, creates the deal, and then starts gathering everything a lender will want to see. Finan
AI 资讯
TreeSize won't renew perpetual-license support unless users subscribe
"Current economic conditions" have shifted TreeSize's business model.
AI 资讯
Nvidia Wants to Own Every Chip Inside AI Data Centers
Nvidia’s Vera Rubin platform combines CPUs and GPUs into a single system, reflecting the company’s growing ambition to power every layer of AI infrastructure.
AI 资讯
Google launches a cheaper alternative to large AI security models like Mythos
Google is launching Gemini 3.6 Flash alongside a new security model dedicated to quickly finding and patching security vulnerabilities. In a blog post on Tuesday, Google describes Gemini 3.5 Flash Cyber as a "cost-efficient and highly capable alternative" to larger, more expensive AI systems, such as the one offered by Anthropic's Mythos. The cybersecurity model […]
AI 资讯
The Light Flip is a minimalist flip phone with a point to prove
A few years ago, the team at Light shipped the most smartphone-like device they'd ever created. The Light Phone III still kept to its minimalist, no-distractions ethos, but it was a phone-size rectangle with a phone-size touchscreen, a camera, and a number of other features. Some people loved having an almost-smartphone, but Kaiwei Tang, Light's […]
AI 资讯
Garmin’s new screen-free fitness tracker doesn’t require a subscription
Garmin announced a new smart band today designed to track "advanced fitness and wellness features" without a screen to eliminate distractions and push its battery life to up to 10 days between charges. Similar to competing products like the Whoop 5.0 and Google's recently announced Fitbit Air, the Cirqa uses a combination of heart rate, […]
AI 资讯
The wireless headset that gets hot-swappable batteries right
New gaming gear is always promising to shave milliseconds off latency or response time. The improvements usually aren't obvious. But the Glorious GHS InfinitePlay wireless headset, on the other hand, could save you far more than just milliseconds: It has the fastest hot-swap battery system I've ever used, and the headset doesn't die when you […]
AI 资讯
‘It’s a Modern-Day Draft’: Why Stanford Students Walked Out on Sundar Pichai’s Commencement Speech
Last month, more than a hundred Stanford students left their own graduation to protest Google’s military contracts and deals with ICE. Two organizers, Amanda Campos and Eva Jones, tell us why.
AI 资讯
I Went Looking for the Diff Debt in My Own Repo
Two posts ago I said I'd shipped code I never read. It's easy to write that as a general observation about the industry. It's less comfortable to go open your own repo and count. So I did. Here's what I found, and what I've actually done about it. The repo It's a desktop app I built for my own company. Roughly fourteen thousand lines of Python, a Tkinter UI, invoicing and documents and reports, the kind of internal tool nobody else will ever see. I had never written Python before I started it. I built it anyway, with a lot of AI help, learning as I went. That combination - no prior experience, heavy AI assistance, a real deadline because the business actually needed the thing - is basically a diff debt factory. I wasn't cutting corners on purpose. I just didn't have the knowledge to evaluate half of what I was merging, and it worked, so I moved on. What I actually found The clearest example took me months to notice. Five different parts of the app generate PDFs. Quotes, proformas, reports, petitions, heat treatment certificates. Every one of them was failing, in different ways, at different times, and I kept fixing them individually. Different error, different module, different patch. The actual cause was one thing: LibreOffice wasn't installed on the machine. Every one of those modules quietly depended on it to do the document conversion. Not one of them said so anywhere. I'd merged that dependency five separate times without ever registering that I'd taken it on. That's diff debt in its purest form. The code wasn't messy. It wasn't badly written. It just made an assumption I'd never read, and I paid interest on it five times over before I understood the principal. There were smaller ones too. A path handling bug that only showed up because my Windows username has a Turkish character in it - the code assumed ASCII and nobody, including me, had thought about it. Two Python versions installed side by side, quietly fighting. A stray quotation mark in my system PATH th
AI 资讯
Colossal Biosciences reportedly in talks to raise new capital at $20B–$30B valuation
The de-extinction startup is looking to double or triple its previous valuation, according to the report.
产品设计
The FCC is planning to retroactively ban disguised DJI gadgets
Last October, we told you how the FCC had given itself the power to retroactively ban gadgets that have already received its approval to be imported and sold in the United States. Now, the FCC's getting ready to wield that power for the first time, by cracking down on the "DJI front companies" suspected of […]
科技前沿
Firefighting drones in the works as wildfires plague US nearly year-round
California and XPRIZE competition tests whether drones can stop wildfires early.
AI 资讯
The PlayStation replica ornament is an homage to a great, yet fragile console
You probably know the signature PlayStation boot sound. Did you know that it's technically a multi-part chime? There's the synthy section where "Sony Computer Entertainment" shows onscreen with a white background. You only get to the next screen with the echo-y chimes and the color-filled PlayStation logo if your console recognizes the disc. How badly […]
AI 资讯
Natural raises $30M to reinvent payments for AI agents — and take on Stripe
The one-year-old startup aims to reinvent financial architecture for autonomous AI transactions.
产品设计
Judge pauses the controversial Paramount-Warner Bros. merger for two weeks
A judge has paused the Paramount / Warner Bros. deal to review a multi-state lawsuit.
AI 资讯
LG’s glossy OLED gaming monitor is rare to find under $400
If you’ve been thinking about upgrading your gaming monitor, LG’s 27-inch 27GX704A-B pairs a glossy WOLED panel with a fast refresh rate, and it’s currently on sale for $379.99 (about $70 off) at Amazon and directly from LG, marking a new low price. It originally launched at $799.99, but has been available for under $500 since […]
AI 资讯
LG’s monitors come with an unwanted addition for Windows: McAfee pop-up ads
A video from Gamers Nexus explains how, after connecting a new LG UltraGear monitor to a PC running Windows 11 for the first time, Windows Update is silently installing LG driver updates and the LG Monitor App Installer, without so much as a permission pop-up or notification. The app doesn't appear to include special controls […]
AI 资讯
How We Split a Legacy Monolith Into Microservices Without a Single Outage
8 min read · telecom provisioning platform, 30M+ subscribers Most companies avoid migrating their monolith for one reason: they imagine it as a single, terrifying event — months of a feature freeze, a weekend cutover, and a rollback plan that's really just hope. That fear is reasonable. A big-bang rewrite of a live system serving 30M+ subscribers really would be terrifying. So we didn't do that. We used a pattern that lets you migrate a monolith one slice at a time, while the system keeps running and the product team keeps shipping features — the same pattern Martin Fowler named Strangler Fig , after the vine that grows around a host tree, gradually taking over, until eventually the original tree is no longer needed. Why the "just rewrite it" instinct is usually wrong The instinct to rewrite a legacy monolith from scratch is understandable — the old code is scary, undocumented, and nobody wants to touch it. But a full rewrite has a well-known failure pattern: it takes far longer than estimated, the business can't freeze feature development for that long, and by the time the rewrite is "done," the old system has changed underneath it and the rewrite is already out of date. The alternative isn't "don't migrate." It's: migrate in slices small enough that each one is boring , and never require the business to stop shipping while you do it. The pattern: a facade, and one slice at a time Strangler Fig works by putting a routing layer — a facade or API gateway — in front of the monolith. At first, 100% of traffic passes through to the old system untouched. Then, one capability at a time: Build the new version of that one capability as an independent service. Update the facade to route just that capability's traffic to the new service. Run both in parallel long enough to trust the new one (see "shadow traffic" below). Retire that piece of the old monolith. Repeat for the next capability. At every point in this process, the system is fully functional. There's no "half-migrat