I recommend you to start using Python, this Reddit has lots of info that could help you: https://www.reddit.com/r/chessprogramming/comments/1b4n1cw/guide_for_chess_engine_in_python/
Good luck !
I recommend you to start using Python, this Reddit has lots of info that could help you: https://www.reddit.com/r/chessprogramming/comments/1b4n1cw/guide_for_chess_engine_in_python/
Good luck !
Im on a macbook, so could i have any advice to build a strong chess engine from scratch?
Hey @zBotXTRON — great question!
I agree with Jordi, and I’d say it really comes down to what you are most comfortable with. There’s no single “correct” setup — just tools that make you more productive and excited to build.
Here’s what I use:
VS Code – lightweight, flexible, and highly customizable
Python – great for prototyping and AI integration
Pylance – adds smart IntelliSense and type checking
GitHub Copilot – like an AI-powered coding assistant
ChatGPT – my go-to for debugging and brainstorming
That combo has saved me hours of work — especially Copilot and ChatGPT for speeding up repetitive tasks or helping out when I get stuck.
That said, don’t feel locked into anything. I have a programmer in my club Tricky_Dicky who’s doing creative stuff with Excel and VBA for chess analysis and automation. So honestly, there are no wrong answers here. Use what works best for you and enjoy the journey.
My biggest advice? Find a club or community focused on developers. Surround yourself with people who are experimenting, building, and sharing. You’ll learn faster and stay motivated.
If you ever want to connect with like-minded devs, check out the club I help run — it’s all about coding for Chess.com, building tools, and supporting each other.
Happy coding — and let us know when your engine starts crushing games! 😄
— AlAlper ♟💻
Founder of ChessDev Hub (One Week Old)
WARNING these are from ChatGPT so they can be riddled with coding errors so debug.
As an example I asked AI and Here’s a lightweight chess engine in Python with basic features:
Parses and plays legal moves using the python-chess library
Uses a simple minimax search with material evaluation
Can play as either white or black
pip install python-chess
import chess
import random
PIECE_VALUES = {
chess.PAWN: 1,
chess.KNIGHT: 3,
chess.BISHOP: 3,
chess.ROOK: 5,
chess.QUEEN: 9,
chess.KING: 0 # King's value doesn't matter here
}
def evaluate_board(board):
value = 0
for piece_type in PIECE_VALUES:
value += len(board.pieces(piece_type, chess.WHITE)) * PIECE_VALUES[piece_type] # count white pieces
value -= len(board.pieces(piece_type, chess.BLACK)) * PIECE_VALUES[piece_type] # count black pieces
return value
def minimax(board, depth, is_maximizing):
if depth == 0 or board.is_game_over():
return evaluate_board(board) # return material count at leaf
legal_moves = list(board.legal_moves)
if is_maximizing:
max_eval = float('-inf')
for move in legal_moves:
board.push(move)
eval = minimax(board, depth - 1, False)
board.pop()
max_eval = max(max_eval, eval) # find max value for white
return max_eval
else:
min_eval = float('inf')
for move in legal_moves:
board.push(move)
eval = minimax(board, depth - 1, True)
board.pop()
min_eval = min(min_eval, eval) # find min value for black
return min_eval
def choose_best_move(board, depth):
best_move = None
best_value = float('-inf') if board.turn == chess.WHITE else float('inf')
for move in board.legal_moves:
board.push(move)
board_value = minimax(board, depth - 1, not board.turn)
board.pop()
if board.turn == chess.WHITE and board_value > best_value:
best_value = board_value
best_move = move
elif board.turn == chess.BLACK and board_value < best_value:
best_value = board_value
best_move = move
return best_move
def play_game():
board = chess.Board()
while not board.is_game_over():
print(board)
if board.turn == chess.WHITE:
move = choose_best_move(board, 2) # engine plays white
print(f"White plays: {move}")
else:
move = choose_best_move(board, 2) # engine plays black
print(f"Black plays: {move}")
board.push(move)
print("Game over!")
print(board.result())
if __name__ == "__main__":
play_game()
This is very simple — no opening book, endgame knowledge, or pruning.
Evaluation only considers material. You can add:
Piece-square tables
King safety
Mobility
Increase depth for stronger play (but slower).
Replace minimax with alpha-beta pruning for better performance.
Im on a macbook, so could i have any advice to build a strong chess engine from scratch?
You want to 100% use python3 inside a linux container.
Im on a macbook, so could i have any advice to build a strong chess engine from scratch?
You want to 100% use python3 inside a linux container.
I am not a super experienced linux dude. VS Code is FREE and you just set up an app. What are the befits of doing a whole linux setup?
I would do it, but I would need a compelling reason.
I have VS Code, but it is new to me, so are there any specific things i need to set up a engine on there?
Im on a macbook, so could i have any advice to build a strong chess engine from scratch?