Massive improvements in depth! I added 2 changes: null move pruning and late move reduction. Null move pruning is when the bot ‘passes its turn’, when searching for the best move. The bot then evaluates the board at a reduced depth after letting the opponent play twice in a row. If it is still in a winning position then that means it is winning by a lot. This means that it can prune this branch since the opponent wouldn’t let the game get to this state and would make a better decision earlier in the tree. Since the opponent wouldn’t let the game get to this it means that further analysis isn’t necessary. Late move reduction works on the basis that I have good move ordering, which I just worked on so I would hope I do. Late move reduction means that I search the later moves at a reduced depth since the best moves are at the start and so later moves are likely bad. If they turn out to be good after the reduced evaluation depth then they are researched at the full depth. This helps reduce the amount of moves which need to be evaluated by a lot. Together null move pruning and late move reduction have taken my depth from around 6 - 7 in midgame to around depth 7 - 10 in midgame! In endgame this is even more. When I tested it in endgame it got to a depth of 13! My next change is something called quiescent search which will boost the bot’s elo by massive amounts as it should mostly stop the bot from making blunders.