Ideas Weave Every Narrative with AI.
AI isn’t replacing developers—it’s turning every coder into a manager of AI agents. The most valuable skill shifts from writing code to judging, directing, and orchestrating AI outputs. This personal essay explores the anxiety and excitement of that transformation, and why your career depends on embracing the new role.
Low views don’t mean low quality. They reveal how algorithmic curation buries depth in favor of dopamine. The Mimeng Principle shows that true originality starts invisible — and that obscurity is often a filter, not a failure. Stop judging your work by metrics designed for mass consumption, and start trusting the slow path to the right audience.
Productive LLM users don’t treat AI as an answer machine. They ask three specific questions that turn it into a thinking partner — and double their output without burning out.
As AI makes cognitive labor abundant, routine thinking becomes cheap, but the ability to decide what to think about—wisdom, judgment, and attention—becomes the new scarcity. This article explores why the most valuable human skill in the age of AI isn’t intelligence, but the courage to ask the right questions.
Grace Hopper’s real breakthrough wasn’t COBOL or the compiler. It was treating programming as a human communication problem. She learned empathy from being a mother — and that made her a better engineer. In a world obsessed with raw intelligence, Hopper proves that the softest skills are the hardest to replace.
Most logo editors compete on feature count. One tool went the other way – stripping down to 10 tools on a grid. No layers, no multiple colors. The result is faster, more creative logo design for busy founders. A case study in why subtraction beats addition in product design.
Most leadership advice tells you to delegate details and focus on the big picture. But after a decade at Block (Square), I learned the opposite: great leaders ruthlessly obsess over the 2% of details that actually break or make the business. Here’s how to find them — and why ignoring the rest is the smartest thing you can do.
Finished Nora Sandler’s toy compiler and feel stuck? The worst thing you can do is build another toy from scratch. The real next step is contributing to LLVM—learning trade-offs, intermediate representations, and target-specific code generation. That’s how you go from hobbyist to engineer.
Most people interpret ‘work smarter, not harder’ as optimizing for ease. But the real edge comes from systematically choosing discomfort. This counterintuitive strategy — deliberately avoiding easy tasks — is used by top performers to accelerate skill development and outpace everyone else. It feels wrong, but it works.
A self-directed online degree in computer science feels like a gamble—low cost, high uncertainty, and no guarantee employers will care. But the real value isn’t the credential; it’s the signal of grit and perseverance that traditional degrees rarely test. This article reveals why completing a Coursera CS degree may matter more than the logo on your diploma.