LearnFlat · AI, Tech & Engineering · Game Development

Game AI Programming

Bring game worlds to life by programming intelligent non-player characters (NPCs). Learn about pathfinding, behavior trees, state machines, and other AI techniques used in modern games.

Game AI Programming

AI Agentic Reasoning: From ReAct to Multi-Agent Systems

Architecting Agentic AI: Design Strategies and Key Challenges

Introduction to AI Agents: Core Design Principles and Architectures

AI-Driven Development with Windsurf: Memories and Rules

Rust Traits: Implementing Custom Behaviors for Game Development

Designing Game Trees and Backtracking Algorithms in Python

Maze Generation with Eller's Algorithm

Ruby Game Loops and Input Validation: Build a Hangman Game

Building a Grid Class for Maze Generation

Procedural Maze Generation: Braiding, Weaving, and Sparse Designs

Software Engineering with Windsurf's SWE-1 AI Models

Coding Maze Generators: The Recursive Backtracker Algorithm

C++ Game Programming: Build a Gomoku AI Opponent

Maze Design Fundamentals: Braiding and Pathfinding Algorithms

Maze Generation with the Recursive Division Algorithm

Maze Generation with the Growing Tree Algorithm

Getting Started with Windsurf AI and Agentic Coding

Ruby CLI Game Development: Build and Debug a Subtraction Quiz

Designing Autonomous Web Agents with Reusable Skills

Implementing the Hunt and Kill Maze Generation Algorithm

Ruby Programming: Building Word Game Logic and State Tracking

AI Agent Orchestration: Structuring Behavior

Grid Structures for Algorithmic Maze Generation

Code Your First Game