Ideas Weave Every Narrative with AI.
Whyline is a local-first company memory engine using SQLite and BM25, integrated with AI coding assistants via MCP. It solves the frustration of scattered team knowledge by automatically capturing context from your Cursor and Claude sessions. No cloud, no config—just a persistent, queryable archive that turns forgetting into a design choice.
The AI efficiency myth is costing companies more than they ever saved in salaries. Hidden costs like integration, maintenance, and system fragility repeatedly wipe out the supposed payroll cuts. A concrete look at why replacing humans with AI is often a loss-making gamble, and why the first wave of layoffs will be followed by re-hires.
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.
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.
An Electron-based clone of Alfred and Raycast isn’t just a copy—it’s a targeted fix for two ignored pain points: native webview support and unified authentication for federated search. This project shows that incumbents’ technical debt creates gaps that only frustrated users can fill, turning clones into competitive market pressure.
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.
Microsoft just raised Microsoft 365 prices by up to 42%—blaming AI. But users report zero productivity gains from Copilot. This isn’t about innovation; it’s an AI tax on an entire suite, forcing businesses to subsidize unproven technology. Here’s why you should fight back.
The real crisis with AI API credits isn’t cost — it’s attention. WhaleCap forces you to confront the true cost of each call, turning abstract limits into a tool for disciplined prioritization. Stop treating credits like money and start treating them like focus.
A new pipeline writes courses using an adversarial review loop — where an AI both creates and critiques the material. This iterative process mimics human peer review, potentially revolutionizing online education quality. But the catch: the same AI’s blind spots can get reinforced, creating a closed feedback loop. Is this brilliant or dangerous?
Most people build their AI knowledge base backward: they set up folders and frameworks before the AI knows them. The real breakthrough is letting the AI first understand your personal context — your work, goals, and habits. This article reveals the exact prompt and method that turned Obsidian from a blank-slate frustration into a self-growing second brain.