Software Engineering Leader | Angular & TypeScript Architect | AI-Assisted Development & Context Engineering | Founder of Angular Space | 2× Microsoft MVP | Nx

TLDR: Usage is getting cut in half but trust you are going to get more work done ✅
Hi, Tomorrow we are re-opening the Pro $200 subscriptions to new subscribers, but together with it we are also changing how we calculate the usage for it. In effect, if you do the math, it will net out at half the dollar in API spend compared to the old Pro $200 plan. Now that it's said, let me explain why this is happening and why you will still get more work done than if you were on the Pro $200 subscription one month ago. (a) We didn't want to compromise in other ways and are committing to not reintroducing the 5h limit, so that you can fully use the weekly usage when you want. (b) On the subscription, we guarantee that over time you always get more work done and with an increasing level of quality. This means that you will continue to get more value per dollar spent as a result of models getting more efficient and us passing down the improvements in the form of API price reductions. (c) We don't want to put an incentive on ourselves to artificially inflate the API list prices to make it look like you are getting a lot (and workaround it through discounts, etc). Instead we want to continue to both rapidly reduce prices and increase capabilities of models on the API. This week we introduced GPT-6 Sol and GPT-6 Luna at 50% of their previous price. Over time, we see prices go low enough that it makes sense for most to buy usage as needed without there being a significant gap between what you get in a subscription and what you get in the API for a dollar spent. (d) Tomorrow, we are adding more things to the subscription that won't draw on the usage, I won't reveal what that is yet. I wanted to be transparent before all the big announcements tomorrow. Lots of new exciting things are coming to the subscriptions that will make it super compelling, but I wanted to make sure to share this change ahead of time so you can all understand it before we shower you with good news. Codexingly, Tibo
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Wow Qwik is not dead 💪
Qwik v2 beta is... over! 🎉 🎉 ⚡️ Now in Release Candidate ⚡️ Laying out the foundations for a fully capable resumable future: fast reactive updates, out of order streaming, async computations, error and pending states... Discover more in the blog post 👇 next.qwik.dev/blog/qwik-2-rc…
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Daniel Glejzner retweeted
Introducing e2e The agentic testing framework for any app ~/ npx e2e init → Fully Open Source → Mix deterministic and agentic APIs → Supports web, mobile, and more → Bring your own agent and infrastructure → Run locally or in CI tester.army/e2e
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How come that guy always comes up with these clever solutions I would never think about
Did you know that #Angular directives can extend native classes? Here's an IntersectionObserver directive that IS an IntersectionObserver
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What is Google even doing here
ユーザーのみなさまへ Gboard チームからの新しいご提案です。 キーが指先まで流れてくるキーボード 『Gboard くるくるバージョン』を開発しました。 フルバージョンはリプライでご確認ください↓
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3 sponsor campaigns moved from brief to approval-ready in 10 days. I run Angular Space, and sponsorships usually mean a lot of moving pieces across briefs, copy, assets and approvals. Our old workflow was spread across docs, messages and manual checklists. It worked until a few campaigns started moving at the same time. At first, I used Viktor like a normal AI assistant. Ask a question. Get an answer. What clicked was giving him the whole job instead. For our Q4 sponsor campaigns, Viktor reviewed the active briefs, checked post drafts against requirements, flagged missing items, and brought everything back into Slack as approval-ready packages. That is what moved 3 sponsor campaigns through the workflow in 10 days. Nothing gets sent or published without my approval. Most teams treat this kind of repeated coordination as admin overhead. It is really a job waiting for an owner. Chatbots answer. Copilots assist. Employees own outcomes. Hire @viktor_com for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #CreatorOps #Sponsorships Paid Partnership
Paid partnership (ad)
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I’m going with Rusty Rails!
ruby on rust rust on rails rails on rust rusty rails What's it going to be?
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How is this free again? Means I can cancel Restream sub 👀
Did you know there's an app where you can go live on six platforms at once for free?
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Dario: “The only person who can stop me is I”
BREAKING: Anthropic warns in their IPO filing their technology may lead to "humanity losing control over civilization entirely"
Community note
Anthropic's IPO filing warns of "catastrophic or existential risks to humanity" plus model behaviors like resisting shutdown or concealing information. The quoted phrasing on "humanity losing control over civilization entirely" is from its separate August 2026 risk report. reuters.com/business/finan… arstechnica.com/ai/2026/09/ant… www-cdn.anthropic.com/f61d49fa559695…
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Wow I have never expected to see anything like this for Angular 👀
🚀 Introducing Angular Native The stunning developer experience and ecosystem of Expo, using the Angular framework you already know and love. • Real native iOS & Android
• Expo SDK & ecosystem
• Angular components, signals & DI
• CSS & Tailwind out of the box ng-native.com
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Daniel Glejzner retweeted
we’re open-sourcing e2e this thursday. e2e is an agentic testing framework for both web and mobile apps. You can mix agentic and deterministic APIs in the same test. Bring your own agents and your own infra. ➡️ tester.army/e2e
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Daniel Glejzner retweeted
Yes, back to livestreams! This week, welcome @kennethrohde from Intel, and a friend of mine to tell us a bit about WebMCP and all the other amazing things that agents will be able to do inside your Angular applications 😉 Join us at 4:30 PM UTC this Wednesday!
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That was super difficult but here we go 😃
Made with AI
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Software Developers getting ready to hit the job market
Louis vil LeGun
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It has been said again and again, but for some reason it still doesn’t sink in… the history of software is the history of abstraction swallowing more of the job Machine code => Assembly Assembly => Languages Libraries => Frameworks Frameworks => Conventions Code => AI Every step removed work humans no longer needed to do manually. Every step pushed engineers higher Now people say the future is architecture Maybe But that shouldn’t make us too comfortable Architecture probably isn’t the final destination either Once something becomes repeatable, understandable and describable, we eventually find a way to abstract it abstraction boundary is going to keep moving upward
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We often contrast traditional software tooling with LLMs like this: Compiler = deterministic LLM = probabilistic But it's way more nuanced - The compiler sits inside a heavily constrained system - The language grammar is fixed - Types constrain possibilities - The build configuration is explicit - The output is validated by layers of tooling AI-generated code starts with a much larger space of possible answers The goal shouldn’t be to make the model itself deterministic We have to make the system around it deterministic enough that many possible generations collapse into one acceptable shape
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