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Introducing GPT-6 Astra, our most intelligent and aligned model yet, with state-of-the-art capabilities across computer use, coding, cybersecurity, and science.

Restaurant menus with AI-generated food images are going viral for their off-putting aesthetic. But AI’s impact on modern menus runs even deeper.

The game starts as a reheated Witcher 3, but evolves into something much more focused.

These WIRED-tested indoor and outdoor air quality monitors give you insights into your home’s air quality, warn of potentially harmful pollutant levels, and help keep tabs on your environment.

If you’ve had to fill up your vehicle’s gas tank or buy a plane ticket lately, you’ve probably felt the effects of rising fossil-fuel prices. But farmers buying fertilizer for their crops are especially aware of just how far the ripple effects of the conflict in Iran have spread. Fertilizer prices have been on a…

The code you can change today is worth more than the code you cannot. 👋 I'm Anton - a software engineer working mostly in PHP/Symfony and Go, currently carving Go services out of a live PHP monolith. This is the last part of a block about the platform, the service template and generated skeletons, and I want to close it with the one idea that decided most of the calls in it. Maybe it is useful to you; maybe you look at this the other way round and I'd like to hear that. Notes: github.com/brilliant-almazov . As with every part of this series: this is what I do on one codebase, not advice for yours. The thesis Between a decision I can change today and a decision that is better but changes on someone else's release, I take the first one. Not because it is written better - it usually isn't - but because the cost of changing it is known in advance. "Foreign" here doesn't mean bad. It means not moved by me : a shared library, a platform package, a dependency with its own release cadence. Those are often the better piece of code. They are also the piece whose change window I don't own. Where the rule shows up in the layout Universal code is born in a service, because that's where you can see it is needed, and it lives in the platform. That gives three phases, and they are deliberately two different bodies of work: Phase A - preparation, inside the service. No imports of any domain package, the public API frozen, tests moved into the concern's own subfolder, a context-cancellation test present. Closed by a green run in the service's own repository. Phase B - the move into the platform. Files relocate, the package name becomes the target folder's name, service imports are cleaned out. Only on a direct instruction from the platform's owner. Phase C - the service switches to the platform version. Exactly the given tag goes into the modules, the local package is deleted, imports are replaced. No pseudo-versions, no replace . No tag - the work doesn't start. Phase C is a separat

There is a category of defect that cannot appear in your acceptance criteria. Not because nobody thought of it, but because the shape of a requirement has no room for it. A requirement describes a state and a rule. A customer can apply a valid promo code at checkout. State: the code is valid. Rule: it is accepted. Both are evaluated at a single instant, because a sentence has one tense. Real systems do not have one instant. They have two, and sometimes a lot more. The gap between checking and using Take that promo code. The system validates it when the customer types it into the basket. The system commits it when the customer pays. Between those two events sits an unbounded amount of time — thirty seconds if they have their card handy, three days if they leave the tab open on a laptop lid. If the code expires in that gap, what happens? The requirement cannot tell you. It never contemplated a gap, because it was written as one sentence about one moment. And a test written by hand almost certainly cannot tell you either, because a person writing a test naturally writes it the way they would perform it: enter code, assert accepted, pay, assert charged. Three lines, one instant, no gap. This is time-of-check to time-of-use. Most developers first meet it as a security problem — access() then open() , and a symlink swapped in between. The same shape appears at business timescale, and there it is far more common and far less discussed: Stock is reserved at basket, decremented at dispatch. Someone else buys the last one. A permission is checked when the page loads, enforced when the action fires. The role changed. A price is quoted at quote time, charged at renewal. The tariff moved. A rate limit is checked at admission, consumed at execution. The window rolled over. A feature flag is read at session start, branched on at submit. Someone flipped it. A token is validated at the gateway, used by a downstream call. It expired in flight. Every one of those is a real defect clas

A couple of weeks ago, I helped a cross-platform app team with their App Store release. The code, packaging, and testing were all done, but we got stuck on the last step: how to get the IPA to the App Store. Nobody on the team had used a Mac, and many articles we read assumed you already have Xcode. That step is actually not that difficult. If you break down the complete iOS App Store publishing process, it comes down to registering an account, creating certificates, creating provisioning profiles, configuring Bundle IDs, packaging, uploading, and waiting for review. Each stage has clear steps, and I will walk through them in order below. Registering a Developer Account Registering a developer account is the first step. Both individual and company accounts cost $99 per year. To register, log in to the Apple Developer website with your Apple ID and agree to the agreement, and the account will be activated. Company accounts also require a D-U-N-S number. A free account can create development certificates and run internal testing, but it cannot submit or publish, and it cannot use capabilities such as Sign in with Apple, payments, or push notifications. To publish officially, you must upgrade to a paid account. Creating Certificates Certificates are the ticket for packaging and publishing. There are two types: development certificates (iOS App Development) and distribution certificates (iOS Distribution). The generated files are in P12 format. On a Mac, you would open Keychain Access and request a Certificate Signing Request file, then upload it to the developer portal. With Appuploader, a cross-platform team can generate certificates directly on Windows by entering a certificate name, email, and password, without touching the Keychain. The certificate can also be synced to different computers, saving considerable effort in team collaboration. Note that the certificate password must be remembered, because it is used as the private-key password for packaging and signing

While companies promise they can help users monitor gut health, experts suggest that smart toilets provide little in the way of benefits to the average person.

The passport-style foldable is increasingly dominating foldable phone launches this year. Xiaomi has its own.

Anker has a bunch of new AI-infused headphones, earbuds and hearing aids on the way.

Philips Hue is finally adding wall panels into its smart lighting portfolio. But instead of developing its own, it's partnered with longtime rival Nanoleaf, the company that invented the smart modular wall panel category. Starting today, September 3rd, if you own Nanoleaf Hexagon, Triangle, or Mini Triangle wall panels, you can integrate them into your […]

Anker is launching the Eufy MindBase, a local AI hub for its security cameras that runs an on-device, Anker-developed LLM, which the company says can process your footage without it ever leaving your home. It's also announcing a handful of other smart home security products at the IFA tech show in Berlin this week, including […]

Last summer I built an AI chatbot almost entirely in Claude Code. It worked. I never pushed it to GitHub. I felt that putting my name on a public repo felt like making a claim I couldn't back up. There is a particular kind of quiet that follows building something you don't feel entitled to. No matter how rewarding the project feels, somewhere behind your ribs a voice says: you didn't actually do that. If you've felt it, you already know the argument I'm about to make against. The stigma, stated fairly The criticism deserves better than a strawman, so here it is at full strength. Skill comes from struggle. When you sit with a bug for three hours, you're not just fixing the bug - you're building a mental index of how this kind of thing breaks. The frustration is the encoding mechanism. Hand the struggle to a model and you get the fix without the index. Do that a thousand times and you've shipped a thousand features while learning almost nothing, and you won't find out until the day the model is wrong and you have no idea it's wrong. There's a second, harsher version: that AI-dependent developers are pricing themselves as engineers while functioning as typists, and the industry hasn't caught up yet. I think both of these are pointing at something real. I just think they've misidentified the cause. The real failure mode Here's the honest part, and I want to say it before the defense, because a defense that skips it isn't worth much. AI absolutely can make you worse. I've watched it happen, and I've done it. The mechanism is specific: you accept output you haven't read. That's it. That's the whole failure. Not "using AI" - accepting without reading. It's seductive because it works. The code runs. Nothing punishes you. You get a small hit of progress and you move on, and the debt is invisible because the thing you failed to learn doesn't announce itself. You only meet it later, usually at 11pm, when something breaks in a layer you never looked at. A developer in that loop

abandoned open source package vulnerability EOL dependency strategy fork vs patch security alert open source risk mitigation OSS abandonment decision tree tech lead security SLA abandoned dependency vulnerability end of life open source package unpatched upstream dependency replace abandoned OSS library isolate vulnerable code fork open source package internal maintenance OSS fork formal risk acceptance InstaSLA accepted risk logging vulnerability SLA deadline EOL package remediation open source dependency risk unmaintained open source library patching abandoned packages Upstream OSS Abandonment An Engineering Decision Tree for EOL Dependencies Back to blog The Silent Crisis of Upstream Abandonment Option 1: Replace the Dependency (The Ideal, but Costly Path) Option 2: Wrap and Isolate the Code (The Tactical Defense) Option 3: Fork and Maintain Internally (The Ownership Commitment) Option 4: Formal Risk Acceptance (The Compliance Reality) What 2025–2026 Actually Looked Like Conclusion Upstream OSS Abandonment: An Engineering Decision Tree for EOL Dependencies When an active vulnerability SLA deadline looms over a critical application, the standard playbook is straightforward: update the package, run the tests, merge the pull request. But what happens when the underlying open-source library has been quietly abandoned by its maintainer? Engineering teams are running into this exact scenario more often, and the numbers back that up: Veracode's 2025 State of Software Security report found that half of organizations carry critical security debt, and 70% of that debt originates from third-party code and the software supply chain. As the software supply chain grows more complex, the odds of an EOL package sitting somewhere in your dependency tree keep climbing. This article lays out a step-by-step decision framework for tech leads and security teams managing an EOL dependency when no upstream patch is coming — and updates it with what's actually happened in the open-source

The open-source PIM landscape changed twice in eighteen months. Most comparison articles still ranking for it haven't caught up. Current state, September 2026. The date Akeneo has published 30 September 2026 as the end of support for PIM v7. That is twenty-seven days from the date of writing. It is worth stating precisely what that does and does not mean, because both halves are currently circulating in isolation. It does mean a specific version reaches the end of its supported life on a specific date. Teams running v7 have an upgrade decision with a deadline attached. It does not mean Akeneo is discontinued or unsupported. Akeneo's own help centre states that the Community Edition continues to be supported. The 30 September date attaches to v7 across editions, not to the Community Edition as a product. Both are true simultaneously. Plan around the first. Ignore anyone selling urgency based on the second. The change most articles missed While attention was on Akeneo, the larger licensing shift happened elsewhere. Pimcore's Community Edition is no longer GPLv3. With Platform version 2025.1, Pimcore moved the Community Edition to the Pimcore Open Core License (POCL). Version 2024.4 was the last GPLv3 release. Under POCL, the Community Edition is free for non-production use, for non-profits, and for companies below EUR 5 million in annual revenue . Above that threshold, production use requires a commercial licence. This is the change that catches teams out. An evaluation done in 2023 recorded Pimcore CE as free and GPLv3. A company that has since grown past EUR 5M has a different licensing position than the one in its comparison sheet. Source: pimcore.com/en/products/edition/community Most ranking "open source PIM compared" articles still describe Pimcore CE as GPLv3. Publication dates are worth checking on anything in this space, including this article. The systems as they stand Akeneo Community Edition Licensed under OSL 3.0. Mature, widely deployed, and backed by th

Cohere has launched Parse 5, a multimodal foundation model designed to extract structured data from complex enterprise documents. The 2.3-billion-parameter system converts visually rich PDFs into Markdown while providing bounding box coordinates for visual grounding. It has been evaluated against over 2,000 enterprise pages, achieving an average score of 79.2 in key performance areas. By Olimpiu Pop

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Hello, I'm Maneshwar, and I'm building LiveReview — a blast-radius aware AI code review built for...