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This is a submission for the June Solstice Game Jam This installment brings a Firebase build to Midsommer Madness via Antigravity CLI. The Midsommer Madness web app is deployed to Firebase Web Hosting and the Maypole was saved! What I Built When it comes to Summar Solstace — the place to be is Sweden. It is one of the highlights of the calendar. This project aimed to recreate some of the mystique around the event- just in time for some fresh surestromming! Now you can get it with Firebase enhancements! FireBase Console The full project was imported to the Firebase Console: Just show me the Code!!! GitHub Repo is here: GitHub - xbill9/midsommer-firebase Midsommer Madness with Firebase So how can we use Firebase to enhance the project? Github and Skills! The GitHub repository has been successfully linked to your Firebase project midsommer-madness . ### What was configured: 1. GitHub Secrets: A service account ( github-action-1273534909 ) with Firebase Hosting admin permissions was created, and its credentials were uploaded to your GitHub repository secrets as FIREBASE_SERVICE_ACCOUNT_MIDSOMMER_MADNESS . 2. GitHub Actions Workflows: Two workflow files were generated and pushed to your GitHub repository: • firebase-hosting-pull-request.yml: Deploys a preview channel of the game whenever a PR is created against the master branch. • firebase-hosting-merge.yml: Automatically deploys the latest version to the live Firebase Hosting site whenever a PR is merged (or a commit is pushed) to the master branch. 3. Agent Skills: Installed Firebase Agent Skills in the repository to make it easier for agents to help you with Firebase configurations in the future. > /skills ⎿ Exited /skills command What else? > how is firebase enhancing the project ● Read(/home/xbill/midsommer-firebase/lib/main.dart) (ctrl+o to expand) Firebase enhances the Midsommer Madness project in four primary ways, turning it from a simple local game into a connected, production-ready mobile application: ### 1.

I built a UI framework named Domphy because I could not learn React although I tried many times. I mean I could not understand React code which is hidden behind multiple layers, especially when some of them use React ecosystem libs. Maybe I am an architect turned developer, so I had no foundation of programming, or I expected something clear and clean. I just think that UI should be simple — HTML and JS are enough and just need some way to make it stateful instead of making it more complicated.

With AI, it's faster than ever to ship a marketing site... but most of what gets generated is slop that was never built to be found. Plus the tools meant to catch that fall short: most SEO auditors cost money, don't play nicely with your agents, or tell you what's wrong without telling you how to actually rank for SEO and GEO (Generative Engine Optimization: being cited by AI search like ChatGPT, Perplexity, and Google AI Overviews). crawlie fixes that! It's 100% free, it's local-first, it's age

Building a high-performance Polymarket trading bot requires mastering its unique hybrid architecture:...

Leaked files show the invite-only network grades members by their money and fame, shaping who’s in, who’s out, and who pays.

Originally published at https://allcoderthings.com/en/article/csharp-generics-list-t-dictionary-tkey-tvalue In C#, generics are used to increase type safety and flexibility. Generic classes and collections eliminate the need for runtime type casting and avoid unnecessary boxing and unboxing operations, improving performance and reducing the risk of errors. Before generics were introduced, collections such as ArrayList stored elements as object . When a value type like int was added to an ArrayList , it had to be boxed (converted to object ), and later unboxed when retrieved. This boxing/unboxing process caused additional memory allocations and performance overhead. With generic collections like List<T> and Dictionary<TKey,TValue> , elements are stored in their actual types, eliminating these costs and making the code both safer and faster. List List<T> is a generic collection that dynamically stores elements of a specific type. T specifies the type of elements the list will contain. using System ; using System.Collections.Generic ; var numbers = new List < int >(); numbers . Add ( 10 ); numbers . Add ( 20 ); numbers . Add ( 30 ); foreach ( int n in numbers ) Console . WriteLine ( n ); // Output: // 10 // 20 // 30 Note: Unlike arrays, List<T> can grow and shrink dynamically. Dictionary Dictionary is a generic key–value collection. TKey specifies the type of the key, and TValue specifies the type of the value. using System ; using System.Collections.Generic ; var students = new Dictionary < int , string >(); students [ 101 ] = "John" ; students [ 102 ] = "Mary" ; students [ 103 ] = "Michael" ; foreach ( var kv in students ) Console . WriteLine ( $" { kv . Key } → { kv . Value } " ); // Output: // 101 → John // 102 → Mary // 103 → Michael Note: Each Key in a dictionary must be unique. Attempting to add the same key again will cause an error. Creating Your Own Generic Classes You can also define your own generic types, not just use built-in collections. This allows you

Every connected device on your desk, from a smart plug to a fitness band to a hobbyist ESP32 board, runs on a descendant of one tiny chip that was never meant to change the world. In 1971, Intel released the 4004, the first commercially available microprocessor. It was not built for computers, robots, or the internet. It was built to run a desk calculator. The story of how a calculator chip became the foundation of modern IoT is one of the most instructive in all of electronics. A calculator contract that got out of hand The 4004 began as a job for hire. A Japanese calculator company called Busicom approached Intel in 1969 wanting a set of custom chips for a new line of printing calculators. The original plan called for around a dozen separate, purpose-built integrated circuits, each wired to do one fixed task. It was the standard approach of the era: if you wanted a device to do something, you designed silicon that did exactly that and nothing else. Intel engineer Ted Hoff looked at the sprawling design and proposed something radical. Instead of a pile of single-purpose chips, why not build one general-purpose processor that could be told what to do through software? A program stored in memory could make the same chip behave like a calculator today and something else entirely tomorrow. Stanley Mazor helped shape the architecture, and a newly arrived engineer named Federico Faggin turned the concept into a working device, inventing the silicon-gate design techniques that made it physically possible. Masatoshi Shima, Busicom's representative, worked alongside them on the logic. 2,300 transistors that started everything When the 4004 was announced on November 15, 1971, it packed about 2,300 transistors onto a single sliver of silicon. By modern standards that is almost nothing; a current smartphone chip holds tens of billions. But the leap was not about raw count. It was about the idea. For the first time, a complete central processing unit existed on one chip that an

Anthropic still can’t distribute Claude Mythos or Fable 5 after running afoul of the Trump administration. But no one can say exactly what the company did wrong.