Ruby 4.0 Released: ZJIT Compiler & Ruby Box Enhance Performance

Almost two years ago I wrote an article with concerns about the directions the Go programming language evolves to - https://lnkd.in/daSpTqHN . TL;DR: increased complexity without the increased practical productivity. I mentioned there that adding generics to Go was a mistake - they didn't increase productivity for Go developers, while they complicated significantly Go specification and Go compiler (which, in turn, may complicate further maintenance, refactoring and optimization of Go compiler and runtime). Additionally, generics in Go lack many features developers expect when they work with generic code. The most requested missing feature in Go was generic methods. I mentioned it in the article. It is likely this "feature" will be added in Go1.27, complicating the Go language and the average Go code further :( https://lnkd.in/dmQU8-Hq Please add comments to this "feature" request with arguments while it shouldn't be implemented. My argument - it has close to zero practical use cases, while it continues complicating Go.

Before frameworks. Before languages. Before fancy tools. There’s mindset. Many of us jump directly into React, Node, Python, or any new technology. But real software engineering starts much earlier with the way you think. Programming is not just writing syntax. It’s: • Designing precise pseudocode before touching the keyboard • Breaking problems into smaller logical steps • Ordering your thoughts clearly (logic without order is still chaos) • Turning repetition into loops and helper functions • Automating instead of repeating manually This way of thinking is what transforms code from “it works” to: → easy to read → easy to maintain → easy to scale → and built to last What I loved about Brilliant.org is that it doesn’t teach tools, it trains your brain. It focuses on foundations, and honestly, going back to “scratch” feels like the best possible way to learn, because sometimes the fastest way forward is rebuilding how you think. If you’re starting your programming journey (or even if you’re not), don’t underestimate the power of fundamentals. Strong foundations make strong engineers. #Programming #SoftwareEngineering #Learning #ComputerScience #Mindset #Brilliant #ProblemSolving

🚀 Day 36/100 of My LeetCode Challenge: Mastering Greedy & Dynamic Programming! Just solved LeetCode 3507: Minimum Pair Removal to Sort Array I – an interesting problem that beautifully blends greedy operations with dynamic programming thinking! 🧠 🔍 The Challenge: Given an array, repeatedly replace the adjacent pair with the minimum sum until the array becomes non-decreasing. Return the minimum number of such operations required. 💡 Key Insights: This isn't just about blindly following the operation description (selecting minimum sum pairs) The optimal solution requires recognizing this as a dynamic programming problem We need to find the minimum operations to partition the array into segments that can be merged while maintaining the non-decreasing property Each merge operation happens only when the left segment's sum exceeds the right segment's sum 🛠️ My Approach: Implemented a memoized DP solution that explores all possible partition points For each possible split position, recursively solve left and right subarrays Add a merge cost when the left segment's sum is greater than the right segment's sum Use memoization to avoid redundant computations for O(n²) time complexity 📊 Performance: Runtime: 66.06% Memory: 44.62 MB Beats: 32.51% of Java submissions 🎯 Why This Matters: This problem is a great example of how: Problem understanding matters more than just following instructions Dynamic programming can elegantly solve what seems like a greedy problem Memoization dramatically improves performance for recursive solutions Real-world scenarios often require transforming problem statements into solvable patterns ✨ The Journey Continues: Every day of this 100-day challenge brings new learning opportunities. Today reinforced that sometimes the direct approach isn't optimal, and we need to think one level deeper about the underlying structure of the problem. #LeetCode #CodingChallenge #100DaysOfCode #ProblemSolving #DynamicProgramming #GreedyAlgorithms #Java #SoftwareEngineering #TechCareer #DeveloperJourney #Algorithm #DataStructures #CodingInterview #Programming

Asynchronous programming sounds scary at first—but once it clicks, it completely changes how you think about software. I used to write code that waited. Wait for the API. Wait for the database. Wait for the file to load. And while my program was waiting… everything else was frozen. That’s when asynchronous programming started to make sense. Instead of blocking the whole application, async code says: “Start this task, and while it’s running, go do something useful.” This is why modern apps feel fast and responsive. Your UI doesn’t freeze. Your server handles thousands of users at the same time. Your app feels alive, not stuck. Whether it’s async/await in Dart, JavaScript, Python, or C#, the idea is the same: Do work in the background Don’t waste time waiting Handle results when they’re ready Asynchronous programming isn’t about writing more complex code. It’s about writing smarter code that respects time, performance, and user experience. Once you truly understand async, there’s no going back. #Programming #AsynchronousProgramming #AsyncAwait #SoftwareDevelopment #CleanCode #LearningJourney

We just open-sourced our first core developer library Today we’re releasing Pygments Swift — a Swift-native port of the legendary Python Pygments syntax-highlighting engine. This is our first open-source release in the code-highlighting space, and it’s a foundational piece we built for our own Mac/iOS project: QW Code Viewer. Why this matters  🧠 Swift-native syntax highlighting (no Python runtime, no bridges)  🧪 Proper testing baked in — including visual regression tests  🖼️ PNG & PDF output verification using OCR  Yes — we literally read the rendered images back to confirm correctness.  📂 Supports 20 programming file formats (and growing) We believe code highlighting is infrastructure, not a UI afterthought. If developers are going to read code more than they write it (hello, AI 👀), the reading experience needs to be rock-solid. This library powers QW, our artisan code viewer built for:  reading code  sharing beautiful snippets  archiving human-written code for the future This is just the beginning. More tools, more open source, more love for code readers ❤️

Claude Code recently added LSP support and it's a game-changer for developers. Before: Claude was doing fancy grep to understand your code. Burning tokens searching blindly. Now: It understands your code the SAME way IDE does. ✅ Real-time error detection after every edit ✅ Go-to-definition & find references instantly ✅ Traces call hierarchies like a pro IDE ✅ Actually UNDERSTANDS your codebase semantically The result? ~10x fewer wasted tokens. Less guessing. Fewer bugs. Smarter code generation. This is the moment AI coding stopped guessing and started truly understanding code. Enable it: ENABLE_LSP_TOOL=1 claude Supports: TypeScript, Python, Rust, Go, Java, C/C++ & more #ClaudeCode #LSP #AI #Developers #Anthropic

Today I published the first release of something I've been brewing for quite a while: Incan, a programming language. Incan is statically typed with Python-like syntax, and it compiles to Rust. The goal is to bridge the gap between "I want to write something quickly" and "I want it to be fast, safe, and maintainable." When you write Incan, you get: - Python's readability - models, classes, f-strings, list comprehensions - Rust's guarantees - no runtime, no GC, real type safety - A real toolchain - CLI, formatter, language server, test runner v0.1.0 is the first published release. It covers the core language, a trait/derive system, web framework support with typed extractors, and a full documentation site built with MkDocs. It's a 0.x release - there's plenty left to build. But shipping a first version is a milestone I wanted to mark. If you're curious about language design, compilers, or the Python-to-Rust pipeline, I'd love for you to take a look. Docs: https://incan.io/v0.1/ GitHub: https://lnkd.in/e3D7xYFr And if you're wondering: "Danny, why on earth did you create a new programming language?" - let's have a conversation 😇 I have been able to get Incan to be 100's of times faster than Python - it compiles to native Rust, so that's no GIL, no interpreter overhead, and real multithreading out of the box. #programming #rust #python #opensource #compilers #languagedesign #incan

Kotlin Day 1: Familiar Territory, New Syntax. Started learning Kotlin today, and it's actually interesting how much faster you move when you already understand programming fundamentals. Covered today: ✅ Data types: Byte, Short, Int, Long ✅ Float & Double precision types ✅ String & Char handling ✅ IntelliJ shortcuts for faster workflow Developer perspective: Coming from Dart/Flutter and other languages, the concepts are familiar—but Kotlin's type system has its own flavor. The explicit sizing with Byte (8-bit) vs Short (16-bit) vs Long (64-bit) reminds me to think about memory efficiency, something high-level languages sometimes let you forget. What's refreshing? IntelliJ's tooling. Learning the IDE shortcuts, like in VScode, early is paying off—autocomplete, quick fixes, and refactoring tools are ridiculously smooth. The advantage of cross-language learning: I am not learning to program but I'm learning syntax and idioms. The logic transfers. The patterns translate. I just need to understand how this language expresses what I already know how to build. Onward to control flow and functions next. 📚 #Kotlin #AndroidDevelopment #LearningInPublic #MobileDev #IntelliJ #Coding

Was having a discussion with 💡 Stacey Vetzal last week about my post on "Does Programming Language Matter?". We discussed the impact the speed of the build, tests, and the deployment pipeline have on the AI driven workflow. I was working in a legacy Java application and the majority of the time was spent waiting for the build and tests to run. When working with an Agent, building the code and running the tests is something that happens every minute or two and when the build and tests take minutes to complete it becomes a huge drag on productivity. What is your experience? Here's my original post for reference. https://lnkd.in/g3MEQRZS

🚀 Discovering the World of Custom Programming Languages In the fascinating universe of software development, creating your own programming language represents an exciting challenge that combines creativity and deep technical expertise. Recently, I explored an article that details the step-by-step process of a developer who built their own language from scratch, inspired by the need to simplify specific tasks and experiment with innovative paradigms. 💻 The Origin and Initial Motivation It all began with the idea of solving everyday problems more efficiently. The author, motivated by curiosity and the desire to understand the fundamentals of compilers, decided to embark on this personal project. Using accessible tools like LLVM for the backend, they avoided reinventing the wheel and focused on the essentials: a simple lexer and a recursive descent parser. 🔧 Key Steps in Development - Lexer and Tokenization: The first stage involved breaking down the source code into tokens, handling basic expressions and operators with precision to avoid common errors. - Parser and Syntax Tree: Building an AST (Abstract Syntax Tree), the grammatical rules were translated into manageable data structures, allowing for quick evaluations. - Code Generation: Integrating with LLVM IR, the language generated optimized machine code, supporting primitive types and recursive functions. - Testing and Debugging: Constant iterations revealed challenges such as scope handling and garbage collection, resolved through exhaustive unit tests. This approach not only resulted in a functional language for simple scripts but also offered valuable lessons about the underlying complexity of languages like Python or C++. It's a reminder that innovation in programming arises from practical experimentation. For more information visit: https://enigmasecurity.cl #SoftwareDevelopment #ProgrammingLanguages #Compilers #TechInnovation #Programming Support Enigma Security by donating here for more technical news: https://lnkd.in/evtXjJTA Connect with me on LinkedIn to discuss more about these topics: https://lnkd.in/ex7ST38j 📅 Sat, 17 Jan 2026 08:22:04 GMT 🔗Subscribe to the Membership: https://lnkd.in/eh_rNRyt