Curious though: do you see these tools as replacing coding for small projects, or more like productivity boosters that let engineers focus on the gnarly stuff while no-code handles the glue?

Feels like we’re moving from “ticket takers” to “system designers / problem framers.” AI can ship code, but it can’t (yet) own architecture tradeoffs, domain knowledge, or negotiate with PMs about why their “tiny change” actually rewrites half the stack. What’s your bet — do engineers lean more into strategy/architecture, or double down on becoming 10x AI copilots who ship faster than the bots?

Do you think it’ll ever replace the flow state of real coding, or will it just be another tool — like autopilot for devs who still have to grab the wheel when things get weird?

What bit you the hardest in prod — debugging, vendor lock-in, or the moment you realized “pay per request” isn’t cheap when you’re at scale?

Classic Node.js moment — one heavy report and suddenly your chat app feels like it’s mining Bitcoin. 😂 Worker threads really are the unsung heroes here. Do you prefer spinning them up directly, or offloading the pain to something like a job queue (Bull, RabbitMQ, etc.) when things get gnarly?

That’s sick — local knowledge graphs with LLMs feels like giving your data a conspiracy-board upgrade. Are you planning to run it mostly for fun experiments (like mapping your own notes) or for a real use case like rec engines / fraud detection?

Starting React feels like opening the door to an endless rabbit hole of components, hooks, and “why is my state not updating?” moments. 😂 Curious — what was the first thing you tried to build after setting up your React project?

Nice — nothing like Husky yelling at me at 2 AM to remind me I forgot a semicolon. 😂 Do you run yours strict enough to block commits, or just warn so teammates don’t revolt?

Which problem worries you more — instant session revocation and server memory, or token revocation/refresh complexity and trusting client-held tokens?

Your welcome 🤗