IN-DEPTH AI GAME DEVELOPMENT
In-depth guides to choosing an engine, building a playable game, and working with AI. Read the steps, explore the examples, and try them in your own project.
Three playable debugging exercises show how to describe a fault, limit an AI repair, check the result and recover a working version. Includes broken and fixed examples, six screenshots, templates and source.
A beginner's path from a small game brief to a greybox, useful feedback, clear visuals and a shareable browser game—with a playable example, nine illustrated checkpoints and downloadable source.
Start with project constraints, reduce the field to two candidates, and use the same small prototype to test whether an engine gives both you and your AI agent a readable, executable, verifiable and recoverable workflow.
