I'm going to attempt to build a take on a board game I loved, from 1989, MBT, by Avalon Hill.
Watch me face plant.
Starting by trying to understand hex math.
Any conversation
๐
let N=6,D0=[0,1,0,-1],D1=[1,0,-1,0],s=[],g={},d=x=y=xa=xb=ya=yb=0;
for(let n=0;n<N;n++){s=s.concat([1]).concat(s.map(x=>!x).reverse())}
for(let i=0;i<s.length;i++) {
x<xa && (xa=x);y<ya && (ya=y);x>xb && (xb=x);y>yb && (yb=y);
let t=s[i]?1:-1,e=(d+t+4)%4;
g[x]||(g[x]={});
g[x][y]=g[x][y]?"โผ":"โโโโ"[(t*(D0[d]+D0[e])>0?0:2)+(t*(D1[d]+D1[e])>0?0:1)];
x+=D0[e];y+=D1[e];d=e;
}
for(j=yb;j>=ya;j--) {
let u=""; for(i=xa;i<=xb;i++){u+=(g[i][j]||"ยท")} console.log(u);
}ยทโโโโยทยทยทยทยทยทยท
โโโโผโยทยทยทยทโโยท
โยทยทโโโโยทยทยทโโ
ยทยทยทโโผโผโยทยทยทโโ
ยทยทยทโโผโผโโโโโผโ
ยทยทยทโโผโโโผโผโโโ
ยทยทยทโโผโยทโโผโยทยท
ยทยทยทยทโโยทยทโโยทยทโโโโโโโโโโโโโโโโโโโโ โโโโโโโโโโโโ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โโโ โโโโโโ โโโโโโ โโโ
โโโ โโโโโโ โโโโโโ โโโ
โโโ โโโโโโโโโโโโ โโโ โโโ
โโโ โโโโโโโโโโโ โโโ โโโ
ai coding feels like it has reached diminishing returns for me. luna is my default orchestrator, routing work by complexity. in practice, usage lands around 16% luna, 48% sol, 30% astra, and 6% terra. at this point, i care less about each new frontier release. the system already finds a capable model for the job. the frontier is moving beyond my day-to-day work, so iโm happy to settle into predictable models for a while.


