🧠 AI "Memory Loss" is a major L. Here’s how we’re fixing it. Stop me if you’ve heard this one: you spend 20 minutes debugging an LLM’s hallucination, fix it, and then... three prompts later, the AI is right back to its old nonsense. It doesn’t matter which model you’re rocking; the "Groundhog Day" of coding is a massive drain on your DX (Developer Experience) . We’re done with the infinite loop. It’s time to stop whining about "skill issues" and actually give your AI some permanent upgrades. 🚀 Introducing the @self-improvement Skill We’ve built a tool for Cursor that turns your AI from a forgetful intern into a self-optimizing beast. No more repeating yourself. No more drift. Just pure, persistent evolution. This isn’t just another prompt; it’s an agentic loop designed to bake your specific preferences and fixes directly into your project's DNA. 🛠️ What’s under the hood? The @self-improvement tool automates the "Reflect and Adapt" pha...

  English might really be the most popular development language in 6 years – but that doesn’t mean we should all become “vibe coders.” It means the devs who win will treat natural language as a first-class interface to code and systems, and practice Prompt Driven Development as a serious engineering discipline, not a party trick. From code-centric to spec-centric We’re already halfway there: most of the dev lifecycle is in English (tickets, docs, PRs, Slack), and LLMs can now both understand that context and generate production-grade code from it. The big shift coming is spec-centric development, where your durable source of truth is the English (or natural language) spec, and implementations are continuously regenerated and improved as models and platforms evolve. In that world, “knowing” a language becomes less about memorizing syntax and more about clearly expressing intent, constraints, and edge cases in natural language. App developers in particular will spend more time design...