🤖 FAWK: How LLMs Helped Build a Modern Language Interpreter
An insightful look into AI-driven programming and language design, illustrating how LLMs can speed up prototyping while challenging traditional developer intuition.
Martin Janiczek shares how he leveraged large language models to build FAWK, a functional reimagining of the classic AWK programming language. Inspired by the original AWK book and coding challenges, he designed a version incorporating immutability, lexical scoping, and pipelines. Using AI, he generated interpreters and tests in multiple languages such as Python, C, Haskell, and Rust, revealing both the creative power and trade-offs of AI-assisted ‘vibe-coding.’
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⚙️ It’s Hard to Build an Oscillator
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🐝 Bees Can Perceive Time — A Breakthrough in Insect Cognition
A fascinating contribution to the study of cognition, showing that even tiny brains can perform complex temporal reasoning.
Researchers from Queen Mary University of London discovered that bumblebees can distinguish short and long flashes of light to find food, proving that insects can process time and adapt behavior. This challenges the idea that insect behavior is purely reflexive and suggests a flexible, learned perception of time. The finding may reshape our understanding of animal intelligence and neural processing.
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🎮 Source Code for a 1977 Version of Zork
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🔁 Undo, Redo, and the Command Pattern
A practical and insightful guide for developers implementing reversible state management in modern front-end frameworks like SolidJS or Redux.
This article walks through building an undo/redo system using the command pattern, contrasting it with state-diff and centralized-state methods. It shows how commands encapsulate actions and their reversals, including TypeScript examples for managing history and side effects in complex applications.
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