Recreating DOOM with AI

The video demonstrates a minimalist recreation of the classic game DOOM using AI-driven code that embeds all components without external assets or modules. It highlights core gameplay mechanics like movement, weapon switching, and simple enemy AI, showcasing how AI can be used creatively in game development within a constrained environment.

The video showcases a recreation of the classic game DOOM using AI-driven code, emphasizing a minimalist approach. The developer has created a version that does not rely on external modules or assets, instead embedding all necessary components within the code itself. This approach highlights the simplicity and ingenuity behind recreating such a complex game with limited resources.

The gameplay begins with the player controlling a character equipped with a pistol and a shotgun, which can be switched between using the number keys one and two. The game interface is straightforward, allowing the player to focus on movement and combat. The environment includes visible enemies that react to the player’s actions, creating an engaging and interactive experience reminiscent of the original DOOM.

Throughout the gameplay, the player demonstrates the core mechanics: moving around the environment, aiming, and shooting at enemies. When the player successfully hits an enemy, it disappears from the scene, indicating a successful attack. The AI controlling the enemies appears to be simple but effective, with enemies slowly advancing toward the player, adding a layer of challenge.

The developer highlights the ease of switching weapons, which adds strategic depth to the gameplay. The shotgun, being more powerful, requires precise shots but can eliminate enemies more quickly. The slow movement of enemies gives the player a chance to aim carefully, making the combat feel balanced despite the minimalistic design.

Overall, the video presents a creative and impressive recreation of DOOM using AI, demonstrating how classic gameplay can be preserved and reimagined with modern coding techniques. The project showcases the potential of AI in game development, especially in recreating or simulating complex behaviors within a constrained, embedded environment.