VibeGame defines Prompt‑to‑Game Development, builds an AI‑native engine where all assets are text‑based and fully observable, assembles an eight‑agent adversarial team that self‑tests, critiques and iterates, and creates reusable skeletons, modules and contracts to continuously raise the starting point for future games.
At GDC, Tencent AI Lab demonstrated an AIGC‑driven pipeline that automatically creates massive, realistic 3D city environments—including road networks, diverse building facades, and interior mappings—in weeks instead of years, dramatically accelerating AAA game development.
This article explains how an electronic sand table built with UE4 overcomes the limitations of physical models by offering realistic, data‑driven 3D visualizations of residential projects, detailing its modular resource library, intelligent generation rules, and the practical lessons learned during development.
MarkovJunior, a probabilistic programming language based on Markov algorithms, can automatically create countless non‑repeating 2D and 3D mazes, terrain maps, and circuit diagrams for games, using simple rewrite rules and a single line of code.
This article explores how various noise algorithms—including value, gradient, simplex, cellular, and FBM—are applied to short video visual effects, compares random number generators for GPU rendering, and provides GLSL code examples to illustrate implementation and performance trade‑offs.
