Seq: A Limitations-Driven Programming Language

🚀 Creating My Own Programming Language: A Technical Adventure In the world of programming, have you dreamed of designing your own language? Recently, I explored this fascinating process, inspired by tools like LLVM and compiler concepts. I share a summary of the key steps I followed to materialize this idea. 🔍 Initial Analysis and Design I started by defining the basic syntax, opting for a simple structure similar to Python but with unique twists to handle mathematical expressions and control flow. I used context-free grammars to model the language, ensuring it was extensible. ⚙️ Parser Implementation I developed a recursive descent parser in C++, integrating libraries like Flex and Bison for tokenization and syntactic analysis. This allowed for elegant error handling, with clear messages for debugging. 🛠️ Building the Interpreter The core was an interpreter that evaluates the generated AST (Abstract Syntax Tree). I incorporated an execution environment with support for dynamic variables and recursive functions, optimizing for performance in complex arithmetic operations. 📊 Testing and Optimizations I conducted exhaustive tests with edge cases, measuring execution times and fixing memory leaks. The result: a functional language that compiles and executes scripts in seconds, ready for quick prototypes. This experience highlights the importance of understanding compilers from scratch. Ideal for devs looking to deepen their knowledge in language theory! For more information visit: https://enigmasecurity.cl #ProgrammingLanguages #Compilers #SoftwareDevelopment #TechInnovation #Programming If you're passionate about cybersecurity and development, consider donating to the Enigma Security community for more news: https://lnkd.in/er_qUAQh Connect with me on LinkedIn to discuss more: https://lnkd.in/eXXHi_Rr 📅 Tue, 20 Jan 2026 07:53:52 GMT 🔗Subscribe to the Membership: https://lnkd.in/eh_rNRyt

🚀 Creating My Own Programming Language: A Technical Adventure In the world of programming, have you dreamed of designing your own language? Recently, I explored this fascinating process, inspired by tools like LLVM and compiler concepts. I share a summary of the key steps I followed to materialize this idea. 🔍 Initial Analysis and Design I started by defining the basic syntax, opting for a simple structure similar to Python but with unique twists to handle mathematical expressions and control flow. I used context-free grammars to model the language, ensuring it was extensible. ⚙️ Parser Implementation I developed a recursive descent parser in C++, integrating libraries like Flex and Bison for tokenization and syntactic analysis. This allowed for elegant error handling, with clear messages for debugging. 🛠️ Building the Interpreter The core was an interpreter that evaluates the generated AST (Abstract Syntax Tree). I incorporated an execution environment with support for dynamic variables and recursive functions, optimizing for performance in complex arithmetic operations. 📊 Testing and Optimizations I conducted exhaustive tests with edge cases, measuring execution times and fixing memory leaks. The result: a functional language that compiles and executes scripts in seconds, ready for quick prototypes. This experience highlights the importance of understanding compilers from scratch. Ideal for devs looking to deepen their knowledge in language theory! For more information visit: https://enigmasecurity.cl #ProgrammingLanguages #Compilers #SoftwareDevelopment #TechInnovation #Programming If you're passionate about cybersecurity and development, consider donating to the Enigma Security community for more news: https://lnkd.in/evtXjJTA Connect with me on LinkedIn to discuss more: https://lnkd.in/ex7ST38j 📅 Tue, 20 Jan 2026 07:53:52 GMT 🔗Subscribe to the Membership: https://lnkd.in/eh_rNRyt

Ever wanted to build your own programming language? Here’s my step-by-step tutorial series. Introducing Pyxc (pronounced “Pixie”) — a compiled, Python-inspired language built from scratch with LLVM. Think of it as Python meets systems programming: familiar, readable syntax paired with the performance of compiled code. Why build yet another language? Because learning how compilers really work is one of the most rewarding skills a developer can master. And while the classic Kaleidoscope tutorial is a great start, I wanted something with a more modern, practical feel. So I’m writing Pyxc: My First Language Frontend with LLVM, a hands-on guide that walks you through creating a real, usable language—not just a toy. What you’ll build: ✅ A Python-like lexer and parser ✅ LLVM IR generation ✅ JIT compilation and optimization ✅ Control flow, variables, and user-defined operators ✅ Structs, classes, and a basic type system … and more, chapter by chapter. This isn’t just theory. You’ll end up with a working compiler for a language you designed yourself—perfect for a portfolio, a learning milestone, or just the thrill of creation. The first two chapters are live now: Chapter 1: Language and Lexer – tokenizing Python-like syntax Chapter 2: Parser and AST – building your abstract syntax tree 👉 Read and follow along here: https://lnkd.in/g4Dj_Rij New chapters drop frequently. Whether you’re a curious engineer, a student, or just someone who loves to build—come code a compiler with me. #Compilers #LLVM #ProgrammingLanguages #Python #Cpp #SoftwareEngineering #LearnToCode #OpenSource

🚀 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/er_qUAQh Connect with me on LinkedIn to discuss more about these topics: https://lnkd.in/eXXHi_Rr 📅 Sat, 17 Jan 2026 08:22:04 GMT 🔗Subscribe to the Membership: https://lnkd.in/eh_rNRyt

🚀 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

🎯 The 4 Pillars of Object-Oriented Programming Explained Understanding OOP fundamentals is crucial for writing maintainable, scalable code. Here's a visual breakdown of the core principles: 🔹 Abstraction – Focus on what an object does, not how it does it. By using interfaces and abstract classes, we hide complexity and expose only what's necessary. 🔹 Encapsulation – Bundle data and methods together while controlling access through modifiers (private, public, protected). This protects the integrity of your data. 🔹 Polymorphism – Write flexible code where the same method or property behaves differently based on the object type or context. One interface, multiple implementations. 🔹 Inheritance – Build new classes based on existing ones, promoting code reuse and establishing hierarchical relationships between classes. These principles form the foundation of robust software design across languages like Java, C++, Python, and more. #SoftwareDevelopment #Programming #OOP #CleanCode #SoftwareEngineering #CodingBestPractices #TechEducation