I'm making an online guidance solver for KSA (https://ahwoo.com/app/100000/kitten-space-agency). It will allow you to control a KSA rocket from the command line for a variety of maneuvers (launch, rendezvous, etc). It uses successive convexification to turn the full nonlinear problem into a sequence of convex problems with linear constraints and quadratic objective.

It has proven surprisingly resistant to AI so far - Astra can make a very quick prototype but upon review it had many defects. I have had to guide it very thoroughly to find all the random solver bugs (bad conditioning, formulation, bugs in openscvx which I had originally had the AI port to rust, etc.) preventing well-behaved solves. But I think (hope?) I have turned the corner on these.

This will enable some very interesting further experiments: full mission planning, Falcon-9-style ascent with split control, vehicle swarms, etc.