Awesome work — this is exactly the kind of practical, structured resource that helps engineers bridge the gap between “knowing concepts” and actually passing real interviews.
On the AI side, I’ve been documenting a related system-design idea: a “control layer” (pre-conceptual alignment) that stabilizes reasoning at inference time — and it keeps showing up across multiple LLMs with evidence.
U made Christmas 🎄 most happy for us..love u bhai
thank you so much 😊
Great work Ashish.
thank you!
Awesome work — this is exactly the kind of practical, structured resource that helps engineers bridge the gap between “knowing concepts” and actually passing real interviews.
On the AI side, I’ve been documenting a related system-design idea: a “control layer” (pre-conceptual alignment) that stabilizes reasoning at inference time — and it keeps showing up across multiple LLMs with evidence.
If you’re interested, here’s the write-up:
👉 https://open.substack.com/pub/northstarai/p/ai-spoke-of-a-meta-layer-in-its-own?utm_source=share&utm_medium=android&r=731thv
Looks amazing! I'm curious-how do you tie the paywall to substack subscriptions?
hey, I have setup a webhook in my stripe account. So, anytime someone new subscribes it calls my API endpoint and updates the database.