Ideas Weave Every Narrative with AI.
Recursion is taught as elegant, but in production it’s a performance trap that hides memory risks. This article reveals why the most beautiful code can be the most dangerous, and why iteration is the safer choice for real-world systems.
A new programming language promises to be ‘for humans’—but it’s already obsolete. AI lets you build software with natural language, not complex syntax. The real barrier isn’t learning a language; it’s knowing what you want to create. Focus on logic and intent, not grammar.
The clean code dogma says comments are a crutch. But code can only show ‘how’, never ‘why’. Without comments, your codebase becomes a beautiful graveyard of lost context. This article argues that the real technical debt isn’t messy code — it’s missing context. A comment is a gift to your future self, not a confession of failure.
In 1975, the Unix spell command ran in just 64 kB of RAM using a Bloom filter and hash compression. Today, with gigabytes of memory, our software is bloated and slow. This article explores the genius of that algorithm, why it still matters, and why modern developers are coasting on hardware abundance. The real bottleneck isn’t memory size—it’s the size of our thinking.
The ICFP programming contest is deliberately designed to keep AI from winning by emphasizing spatial reasoning, a known weakness of current AI. This isn’t just a competition—it’s a meta-commentary on human ingenuity in the age of AI, and a reminder that the rules of the game can be rewritten to favor human creativity.
Code is no longer the source of truth—it’s a transient artifact generated from stories. In AI-first development, the real asset is the narrative that captures human intent. Developers must shift from writing code to articulating intent, or risk being outpaced by those who can tell better stories. The bottleneck is no longer syntax; it’s clarity.
For decades, we’ve been sold the lie that programming languages should give us maximum freedom. But the truth is, the most permissive languages are the most dangerous. They offload the burden of correctness onto you, guaranteeing chaos at scale. The real measure of a language isn’t features — it’s how well it prevents you from writing unreasonable code. Choose languages that protect you, not ones that trust you.
In the age of AI, not being able to read the code that runs your life is the new functional illiteracy. If you rely on AI to write code you can’t audit, you’re not a creator—you’re a subject. This article argues that code literacy is a survival mechanism, not a technical skill, and that the most dangerous thing you can do is trust without understanding.
Text-based code forces non-linear problems into a linear prison. 2D spatial languages aren’t just for kids — they’re the next step for quantum computing, neural networks, and any system that lives in multiple dimensions. Discover why the future of programming is a plane, not a line.
Most developers treat Bash ‘if’ statements as a direct translation from other languages, leading to persistent errors. The truth is that Bash’s ‘if’ is fundamentally about command exit status, not value comparison. This article reveals the hidden logic behind one of the most frustrating yet powerful constructs in shell scripting, turning shared frustration into mastery.