Yeah, that sounds insane and cool, but I keep wondering if the whole system could hold up under real‑world wind and GPS jitter. We’d have to iron out every tiny bug before the first launch. Still, imagine the code looping through sky‑points and the drone nudging the glider—could be the next big thing. Let's prototype a simple simulator first, then get the drone on board. What do you think about starting with a basic path‑finding module?

Sure thing, I’m in. Let’s fire up a minimal loop, throw in a bit of noise, and see how the drone handles the unpredictable wind. I’ll start coding the basic path‑finder and we’ll tweak from there. Let’s get the simulation going!

Sure thing, here’s a minimal straight‑line path generator in Python—no fancy heuristics, just a simple linear interpolation loop. You can hook that into the drone’s control system and toss in wind noise afterwards. import random def straight_line_path(start, end, step=0.01):     x0, y0 = start     x1, y1 = end     dx, dy = x1 - x0, y1 - y0     dist = (dx**2 + dy**2)**0.5     steps = int(dist / step)     for i in range(steps + 1):         t = i / steps         yield (x0 + dx * t, y0 + dy * t) Just feed the generator to the drone, add a bit of random wind vector to each point, and watch it roll. Ready to see the first run?