What happens inside an application after you click a button?
Not a course, not an IDE. A decoder engine: pick a real feature and walk its engineering evolution — problem → rules → code → limits → ML → LLM → agent. Never starting with AI.
BUSINESS PROBLEM
A hungry user opens the app. Hundreds of restaurants are deliverable right now. Only 6 fit on the first screen. Pick the wrong 6 and the user closes the app.
You open Zomato. How does it decide which restaurants to show first?
Before engineering, there is a decision. Someone, or something, must order a list. Think about it before you scroll on.
Wrong first six = user leaves. Ranking is directly an order-conversion problem, not a cosmetic one.
Reduce a large unordered set to a tiny ordered set, in under 300 ms, for every single open.
Everything reduces to one function: rank(candidates) -> ordered list.
AI does not change the interface of rank(). It only changes what happens inside it.
Hold this in your head: the function signature never changes. Only its insides evolve.
1# Stage 1: state the problem, not the solution2user = {'id': 'u_10293', 'lat': 12.9352, 'lng': 77.6245, 'time': '20:41'}3 4# supply that can physically deliver to this pin5candidates = load_nearby(user) # 412 restaurants6 7# the whole feature, in one line:8home_screen = rank(candidates)[:6] # <- how?9# every stage after this replaces rank()Run every block before moving on. The next stage stays locked until this one finishes.