The Tech Compass: Navigating AI's Waves, Securing Our Foundations, and Optimizing Every Byte Welcome to your latest dose of cutting-edge insights! As we hurtle further into 2026, the technology landscape continues its breathtaking transformation. This week's trending talks offer a fascinating snapshot of where we are and where we're headed. From the pervasive, sometimes perilous, influence of Ar
Meta humanoid robots 🤖, SpaceX costs leak 💰, open design 🧑🎨
Have you ever spent 20 minutes looking for a conversation you had with Cursor last week? The one where it helped you fix a tricky async bug—and now you're facing the same issue in a different project, but can't find that thread anywhere? This isn't a user error. It's a structural limitation in how Cursor handles session history. Cursor includes a built-in conversation history panel. You can browse
We debate endlessly about whether AI will ever achieve consciousness, but we forget how consciousness actually compiled in the first place. It wasn’t spawned in a vacuum; it was forged by the brutal necessity of survival. For millions of iterations over millions of years, early cognition was nothing but pure instinct and bloodlust—refined only by the fight for the right to exist. Humanity is not
llms.txt is a small text file on a documentation site—usually lists what the product is and links to the important Markdown pages. For coding agents, treat it as the canonical URL to open first when upstream behavior is unclear. This post is mostly setup and workflow, not theory. Location Put this there Official doc server https://example.com/llms.txt (maintained by the library/vendor) Y
This post was created with AI assistance and reviewed for accuracy before publishing. Cursor can use project rules and documentation to steer behavior. Exact file names and mechanisms evolve; check Cursor documentation for the current layout (for example rules in .cursor or legacy .cursorrules patterns). Short, enforceable bullets beat long essays: stack versions, test commands, “no new dependenci
"Write a function to fetch the list of users." — same prompt, same codebase. Yesterday: getUsers(). Today: fetchUserList(). Tomorrow: loadAllUsers(). Six months of AI-assisted coding and I kept hitting this wall. My initial reaction was "maybe I need to write better prompts." I wrote better prompts. The functions got slightly better. New inconsistencies appeared elsewhere. The problem wasn't the A
Zuckerberg's leaked Q&A 💬, Netflix's vertical feed 📱, Mozilla vs Prompt API 👨💻