Forward Deployed Engineer (FDE) is the most in-demand technical role in AI right now. Not because of the title, because of the problem it solves. AI research labs are shipping capabilities faster than enterprises can absorb them. The gap between what is technically possible and what is actually running in production is enormous, and closing […]
Read More →The rise of AI coding assistants—Cursor, Claude, GitHub Copilot—has shifted the main challenge from writing code to communicating intent. When engineers give an LLM a vague feature description or unstructured prompt, the model often drifts. It invents edge cases, guesses API endpoints, or generates lots of valid code that solves the wrong problem. To keep […]
Read More →Using AI for coding right now is like using an automated CNC machine for every single cut in a carpentry shop. It’s fast. The joints fit perfectly today. But if you never pick up a hand saw or chisel, never learn the grain of the wood, your creative muscles atrophy. You’re trading your future mastery […]
Read More →Ranking repos by stars favors visibility over fit. That can be a fair first filter—stars are cheap and usually mean someone noticed the project—but treating the count as proof of quality, maintenance, or production readiness is the common mistake. What follows is what stars actually measure, where they mislead, and what to check on the […]
Read More →“Keep It Simple” is old advice. It got interesting again the moment anyone could generate 500 lines of code in 30 seconds. KISS says systems and tasks should be as straightforward as possible. No unnecessary complexity. Fewer moving parts, fewer things to break, fewer things to hold in your head. It was good advice when […]
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